Skip to content

Exploring Materials Synthesis with MP Data and Reaction Networks

Author: Matthew McDermott
Last updated: 08/05/21

Goal

Learn how to build & interpret phase diagrams using MP data and apply these to predict reaction pathways in inorganic materials synthesis.

Outline

  1. Identifying a target system
  2. Building phase diagrams
  3. Predicting interface reactions between solids
  4. Enumerating all possible reactions to a specific target phase
  5. Constructing a reaction network from enumerated reactions
  6. Finding and balancing reaction pathways

1. Identifying a target system

Scenario:

While researching ferroelectric materials, you stumble upon a compound that has shown much promise as a multiferroic material: yttrium manganese oxide, YMnO\(_3\). When you consult the literature, it looks like there are many different approaches for making this material: solid-state synthesis, chimie douce methods, microwave-assisted synthesis, pulsed laser deposition, hydrothermal synthesis, etc.

In almost all of the papers you find, however, the authors describe significant difficulty in synthesizing phase-pure YMnO\(_3\). For example: - "... observation that crystallization at low temperature or high oxygen partial pressures gives a mixture of Y2Mn2O7 together with YMnO3" Brinks et al., Journal of Solid State Chemistry 129, 334-340 (1997). - "The solid state synthesis of YMnO3 requires very long procedure with repeated heating and grinding" Z. Brankovic et al. Ceramics International 41 (2015) - "There are still challenges to be addressed with respect to hydrothermal synthesis of h-YMnO3, most notably the difficulty in synthesising phase pure h-YMnO3. This is a result of the complexity of the system, with a total of eight crystalline phases having been detected throughout the course of the reaction." Marshall et al., Chem Eur. J 2020, 26, 9330-9337 (2020).

Being familiar with the Materials Project database and pymatgen, you decide to check the database to see if it can help answer the question: why is phase-pure YMnO\(_3\) so difficult to synthesize?

We previously learned how to use the MPRester to access computed data on the Materials Project. Let's start by importing MPRester:

from mp_api.matproj import MPRester

1.1 EXERCISE: Acquiring entries from MP

Using the MPRester, acquire all entries from the Materials Project with the composition YMnO\(_3\) in the cell below:

with MPRester() as mpr:
    entries = mpr.get_entries(chemsys_formula="YMnO3")
/usr/share/miniconda/envs/workshop/lib/python3.9/site-packages/maggma/api/utils.py:104: RuntimeWarning: fields may not start with an underscore, ignoring "_framework_formula"
  for model in get_flat_models_from_model(pydantic_model)
/usr/share/miniconda/envs/workshop/lib/python3.9/site-packages/maggma/api/utils.py:104: RuntimeWarning: fields may not start with an underscore, ignoring "_stable_entries"
  for model in get_flat_models_from_model(pydantic_model)
/usr/share/miniconda/envs/workshop/lib/python3.9/site-packages/maggma/api/utils.py:104: RuntimeWarning: fields may not start with an underscore, ignoring "_unstable_entries"
  for model in get_flat_models_from_model(pydantic_model)

1.2 Exploring downloaded entries

Now let's take a look at one of the downloaded entry objects.

In the ComputedStructureEntry printout, we can see the uncorrected energy, correction, final energy, and the various parameters/data associated with the calculation.

Since this is hard to interpret, it will be easier for us to reformat the entries into a pandas DataFrame with the relevant information. First we import pandas:

import pandas

And then we create a function to help us wrangle the entries into the DataFrame format:

def get_df_from_entries(entries):
    formulas = [e.composition.reduced_formula for e in entries]
    energies = [e.energy_per_atom for e in entries]
    spacegroups = [e.structure.get_space_group_info()[0] for e in entries]
    structures = [e.structure for e in entries]

    data = {"formula": formulas, "energy": energies, "spacegroup": spacegroups, "entry":entries}

    df = pandas.DataFrame(data).sort_values("energy")

    return df

The dataframe can now be easily created by calling this function:

df = get_df_from_entries(entries)
df
formula energy spacegroup entry
4 YMnO3 -9.130481 P6_3cm mp-19385 ComputedStructureEntry - Y6 Mn6 O18 ...
0 YMnO3 -9.109891 P6_3/mmc mp-19227 ComputedStructureEntry - Y2 Mn2 O6 ...
3 YMnO3 -9.107394 Pnma mp-20699 ComputedStructureEntry - Y4 Mn4 O12 ...
1 YMnO3 -8.805429 Pm-3m mp-1434307 ComputedStructureEntry - Y1 Mn1 O3 ...
2 YMnO3 -8.731478 Pnma mp-20699 ComputedStructureEntry - Y4 Mn4 O12 ...

We see that there are several polymorphs of similar energy. The lowest energy polymorph is the hexagonal YMnO\(_3\) phase which is well known as the thermodynamically stable phase in the literature:

structure = df.iloc[0]["entry"].structure
print(structure)
Full Formula (Y6 Mn6 O18)
Reduced Formula: YMnO3
abc   :   6.233022   6.233022  11.589090
angles:  90.000000  90.000000 119.999996
Sites (30)
  #  SP           a         b         c    magmom
---  ----  --------  --------  --------  --------
  0  Y     0.666667  0.333333  0.233045     0.019
  1  Y     0.333333  0.666667  0.733045     0.019
  2  Y     0.666667  0.333333  0.733045     0.019
  3  Y     0.333333  0.666667  0.233045     0.019
  4  Y     0         0         0.775978     0.016
  5  Y     0         0         0.275978     0.016
  6  Mn    0.666399  0         0.501375     3.939
  7  Mn    0.666399  0.666399  0.001375     3.931
  8  Mn    0         0.333601  0.001375     3.931
  9  Mn    0         0.666399  0.501375     3.939
 10  Mn    0.333601  0.333601  0.501375     3.939
 11  Mn    0.333601  0         0.001375     3.931
 12  O     0.666667  0.333333  0.021222    -0.035
 13  O     0.333333  0.666667  0.521222    -0.026
 14  O     0.666667  0.333333  0.521222    -0.026
 15  O     0.333333  0.666667  0.021222    -0.035
 16  O     0         0         0.97754     -0.03
 17  O     0         0         0.47754     -0.022
 18  O     0.358595  0         0.837277    -0.026
 19  O     0.358595  0.358595  0.337277    -0.026
 20  O     0         0.641405  0.337277    -0.026
 21  O     0         0.358595  0.837277    -0.026
 22  O     0.641405  0.641405  0.837277    -0.026
 23  O     0.641405  0         0.337277    -0.026
 24  O     0.307715  0         0.165664    -0.03
 25  O     0.307715  0.307715  0.665664    -0.03
 26  O     0         0.692285  0.665664    -0.03
 27  O     0         0.307715  0.165664    -0.03
 28  O     0.692285  0.692285  0.165664    -0.03
 29  O     0.692285  0         0.665664    -0.03

If we want to interactively view this structure in JupyterLab, we can also import crystal_toolkit to view it:

import crystal_toolkit
structure
If you see this text, the Crystal Toolkit Jupyter Lab 

extension is not installed. You can install it by running 

"pip install crystaltoolkit-extension" 

from the same environment you run "jupyter lab". 

This only works in Jupyter Lab 3.x or above.


Structure Summary
Lattice
    abc : 6.2330216584852325 6.2330216584852325 11.58909
 angles : 90.0 90.0 119.99999637504301
 volume : 389.9215651386502
      A : 3.116511 -5.397955 0.0
      B : 3.116511 5.397955 0.0
      C : 0.0 0.0 11.58909
PeriodicSite: Y (3.1165, -1.7993, 2.7008) [0.6667, 0.3333, 0.2330]
PeriodicSite: Y (3.1165, 1.7993, 8.4953) [0.3333, 0.6667, 0.7330]
PeriodicSite: Y (3.1165, -1.7993, 8.4953) [0.6667, 0.3333, 0.7330]
PeriodicSite: Y (3.1165, 1.7993, 2.7008) [0.3333, 0.6667, 0.2330]
PeriodicSite: Y (0.0000, 0.0000, 8.9929) [0.0000, 0.0000, 0.7760]
PeriodicSite: Y (0.0000, 0.0000, 3.1983) [0.0000, 0.0000, 0.2760]
PeriodicSite: Mn (2.0768, -3.5972, 5.8105) [0.6664, 0.0000, 0.5014]
PeriodicSite: Mn (4.1537, 0.0000, 0.0159) [0.6664, 0.6664, 0.0014]
PeriodicSite: Mn (1.0397, 1.8008, 0.0159) [0.0000, 0.3336, 0.0014]
PeriodicSite: Mn (2.0768, 3.5972, 5.8105) [0.0000, 0.6664, 0.5014]
PeriodicSite: Mn (2.0793, 0.0000, 5.8105) [0.3336, 0.3336, 0.5014]
PeriodicSite: Mn (1.0397, -1.8008, 0.0159) [0.3336, 0.0000, 0.0014]
PeriodicSite: O (3.1165, -1.7993, 0.2459) [0.6667, 0.3333, 0.0212]
PeriodicSite: O (3.1165, 1.7993, 6.0405) [0.3333, 0.6667, 0.5212]
PeriodicSite: O (3.1165, -1.7993, 6.0405) [0.6667, 0.3333, 0.5212]
PeriodicSite: O (3.1165, 1.7993, 0.2459) [0.3333, 0.6667, 0.0212]
PeriodicSite: O (0.0000, 0.0000, 11.3288) [0.0000, 0.0000, 0.9775]
PeriodicSite: O (0.0000, 0.0000, 5.5343) [0.0000, 0.0000, 0.4775]
PeriodicSite: O (1.1176, -1.9357, 9.7033) [0.3586, 0.0000, 0.8373]
PeriodicSite: O (2.2351, -0.0000, 3.9087) [0.3586, 0.3586, 0.3373]
PeriodicSite: O (1.9989, 3.4623, 3.9087) [0.0000, 0.6414, 0.3373]
PeriodicSite: O (1.1176, 1.9357, 9.7033) [0.0000, 0.3586, 0.8373]
PeriodicSite: O (3.9979, -0.0000, 9.7033) [0.6414, 0.6414, 0.8373]
PeriodicSite: O (1.9989, -3.4623, 3.9087) [0.6414, 0.0000, 0.3373]
PeriodicSite: O (0.9590, -1.6610, 1.9199) [0.3077, 0.0000, 0.1657]
PeriodicSite: O (1.9180, -0.0000, 7.7144) [0.3077, 0.3077, 0.6657]
PeriodicSite: O (2.1575, 3.7369, 7.7144) [0.0000, 0.6923, 0.6657]
PeriodicSite: O (0.9590, 1.6610, 1.9199) [0.0000, 0.3077, 0.1657]
PeriodicSite: O (4.3150, 0.0000, 1.9199) [0.6923, 0.6923, 0.1657]
PeriodicSite: O (2.1575, -3.7369, 7.7144) [0.6923, 0.0000, 0.6657]

2. Building phase diagrams

Now that we've confirmed the existence of the target phase within the MP database, we'd like to better understand phase competition within the Y-Mn-O system. This means answering questions suchs as:

  1. Just how stable is YMnO\(_3\)?
  2. How much energy is released upon formation of YMnO\(_3\) from the corresponding binary oxides?
  3. What other phases might compete against the formation of YMnO\(_3\)?
  4. What kinds of oxygen chemical potentials stabilize YMnO\(_3\)?

These are all questions that can be answered by constructing phase diagrams within pymatgen.

2.1 EXERCISE: Acquiring all entries within the chemical system

Let's start by downloading entries for the full Y-Mn-O system using MPRester. How many entries exist within the full Y-Mn-O system?

with MPRester() as mpr:
    entries = mpr.get_entries_in_chemsys("Y-Mn-O")
print(len(entries))
160

2.2 Compositional phase diagrams

Now that we have all the entries within the Y-Mn-O system, we can create a ternary compositional phase diagram by simply passing the list of entries to create a PhaseDiagram object. Let's first import this class from the phase_diagram module:

from pymatgen.analysis.phase_diagram import PhaseDiagram

And we can create the phase diagram:

pd = PhaseDiagram(entries)

To plot the phase diagram, we can either: 1. Create a PDPlotter object and call get_plot() with custom arguments 2. Create a PDPlotter object and call show() 3. In JupyterLab, just type the name of the phase diagram object in a cell and click "enter"!

Let's do option 1 so that we can see the possible arguments of the plotting function. First we import PDPlotter:

from pymatgen.analysis.phase_diagram import PDPlotter

And then we create the plotting object and call the get_plot() function:

plotter = PDPlotter(pd)
plotter.get_plot()
',tiles:["https://a.tile.openstreetmap.org/{z}/{x}/{y}.png","https://b.tile.openstreetmap.org/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-osm-tiles",type:"raster",source:"plotly-osm-tiles",minzoom:0,maxzoom:22}]},"white-bg":{id:"white-bg",version:8,sources:{},layers:[{id:"white-bg",type:"background",paint:{"background-color":"#FFFFFF"},minzoom:0,maxzoom:22}]},"carto-positron":{id:"carto-positron",version:8,sources:{"plotly-carto-positron":{type:"raster",attribution:'\xa9 CARTO "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "a4266c7e87a04acaabad735c033bfed9": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_8ae6850b39ee4755a0e29c7e2e48e534", "placeholder": "\u200b", "style": "IPY_MODEL_21fd2d5ae60b4015bb6005263e86568e", "value": " 63/63 [00:06<00:00, 5.58it/s]"}}, "a47560a698484b4cbb388cf2bf5118c3": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "a56ef51a89514f1baded43b8d0f61781": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "a6ead31bd8d6446d88e154e9822c139e": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "a7342659259742d68da38d3e58155f0b": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "a805fb3010c64042884e109d4839dfa7": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_018870e0478f4934b72d7840927d67be", "placeholder": "\u200b", "style": "IPY_MODEL_a56ef51a89514f1baded43b8d0f61781", "value": "C-Cl-Li-Mn: 100%"}}, "ab6c47e32fa3414eacec2122057c4ee5": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_51d31f3df6274ccd90a89a94333ce830", "placeholder": "\u200b", "style": "IPY_MODEL_c7c6e2a214b5497489460629e0c1ae4e", "value": " 3/3 [00:00<00:00, 6.50it/s]"}}, "aceecac17e6746f896db4bda21023182": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b3d004be73fd47c5933d183101127478": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b40a2613eb5d4b93a255744d9870ad95": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "b49c6d1c08654502876abb8cbacb13e0": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b52137ccef614800932881fed6276df1": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "b612bb6e9e8e4b2b84f2772aaa0aad8c": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "ba5e47ec82b14cb39624fdcb1cea333c": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_4af532d2e71042d29fa5357476a5d30d", "IPY_MODEL_f083716ef56c4765ad3b3cb302c54455", "IPY_MODEL_cfb307a7d47f4ea384d2d6255589bb41"], "layout": "IPY_MODEL_5d8428ee70674264bf97355a8424a6a0"}}, "c1eeeaedc8d441379b0e8ed99846e5dd": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "c29b7eaad8b24b55afc1f099d6f861be": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "c4bd31d29ce24daea077096fd10fa342": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "c7c6e2a214b5497489460629e0c1ae4e": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "ca37e94ac55a4e32abaaa61a3f7017ec": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_58425cbc749448d8a817014e863d83be", "placeholder": "\u200b", "style": "IPY_MODEL_3ab9a366034945f1907888a872ea2b6a", "value": "Y: 100%"}}, "cf542ff44eff4041ae9d1c07d1c556c7": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "cfb307a7d47f4ea384d2d6255589bb41": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_b49c6d1c08654502876abb8cbacb13e0", "placeholder": "\u200b", "style": "IPY_MODEL_141847590584424fac3a00311044edf8", "value": " 63/63 [00:06<00:00, 13.87it/s]"}}, "d35c66d02ce64fdeb60424bc0d46a83b": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_8cec4fdbcbf14fbd81cc75f0872cbb56", "placeholder": "\u200b", "style": "IPY_MODEL_604120c197cf4716949fbdfee1e1f359", "value": "Y: 100%"}}, "d4d6129402bc404b8362e3f414f6dbf8": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "d61de198da134553880e0c3add1096ca": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "d73140d5a7ef42219fb44899682652b4": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "dde9eef6021f49c5b768328419c1b967": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "deba10cc58564cd4b066af0a1964c427": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "df4ec876a3b546c5a0e9e5330c627166": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_1a68c640ed6b4a66ac13fa12d8b1ef02", "IPY_MODEL_918321cf3632434ca9429ddcb7fc7b14", "IPY_MODEL_96060299083d48ed923b680a31aec8ba"], "layout": "IPY_MODEL_718c4b8bcdee4777a5668b961cfab9d3"}}, "e0044d5acf594162be2ebe7dc3a533ab": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "e0fbc58c20ed4f8ead9a8d6806148283": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "e1ece9a7ec844b40869b32077f0c229f": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "e3ad624d45334a37ae631a4f27e33594": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_7cccf67d4d6e4916b11f0dc2e9585bfa", "max": 2.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_fe25d74ce606464486ad705c766adf9e", "value": 2.0}}, "e6a41eca74474bed9ef406a8d5bc28f3": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "e9d89a1041fb4d67855a8fcb095a2b2a": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "eb2d9afce5254567a633934333c72bdf": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "eed15db97f744d948679033cb59261b3": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "f083716ef56c4765ad3b3cb302c54455": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_f6f41c587134477b93badea78ea245d7", "max": 63.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_eb2d9afce5254567a633934333c72bdf", "value": 63.0}}, "f143c377fb334dea942f3be9a641a174": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_13542511c4934fb6b5c2b113f24ecedd", "placeholder": "\u200b", "style": "IPY_MODEL_b612bb6e9e8e4b2b84f2772aaa0aad8c", "value": "Mn-Y: 100%"}}, "f6f41c587134477b93badea78ea245d7": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "f7ccd05799064d029bc0820221fb418b": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_52f8800d52ad47048d0480a88bc90e28", "placeholder": "\u200b", "style": "IPY_MODEL_b52137ccef614800932881fed6276df1", "value": " 2/2 [00:11<00:00, 5.18s/it]"}}, "fb208cf9c2d04072901f03b777729956": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_514558aa4e3d4f9e99324bf5cbcc337e", "placeholder": "\u200b", "style": "IPY_MODEL_e6a41eca74474bed9ef406a8d5bc28f3", "value": "100%"}}, "fe25d74ce606464486ad705c766adf9e": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "ff6482a5fd3948348c536fdb87662e15": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}}, "version_major": 2, "version_minor": 0} ',tiles:["https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-carto-positron",type:"raster",source:"plotly-carto-positron",minzoom:0,maxzoom:22}]},"carto-darkmatter":{id:"carto-darkmatter",version:8,sources:{"plotly-carto-darkmatter":{type:"raster",attribution:'\xa9 CARTOplate_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "a4266c7e87a04acaabad735c033bfed9": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_8ae6850b39ee4755a0e29c7e2e48e534", "placeholder": "\u200b", "style": "IPY_MODEL_21fd2d5ae60b4015bb6005263e86568e", "value": " 63/63 [00:06<00:00, 5.58it/s]"}}, "a47560a698484b4cbb388cf2bf5118c3": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "a56ef51a89514f1baded43b8d0f61781": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "a6ead31bd8d6446d88e154e9822c139e": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "a7342659259742d68da38d3e58155f0b": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "a805fb3010c64042884e109d4839dfa7": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_018870e0478f4934b72d7840927d67be", "placeholder": "\u200b", "style": "IPY_MODEL_a56ef51a89514f1baded43b8d0f61781", "value": "C-Cl-Li-Mn: 100%"}}, "ab6c47e32fa3414eacec2122057c4ee5": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_51d31f3df6274ccd90a89a94333ce830", "placeholder": "\u200b", "style": "IPY_MODEL_c7c6e2a214b5497489460629e0c1ae4e", "value": " 3/3 [00:00<00:00, 6.50it/s]"}}, "aceecac17e6746f896db4bda21023182": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b3d004be73fd47c5933d183101127478": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b40a2613eb5d4b93a255744d9870ad95": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "b49c6d1c08654502876abb8cbacb13e0": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b52137ccef614800932881fed6276df1": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "b612bb6e9e8e4b2b84f2772aaa0aad8c": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "ba5e47ec82b14cb39624fdcb1cea333c": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_4af532d2e71042d29fa5357476a5d30d", "IPY_MODEL_f083716ef56c4765ad3b3cb302c54455", "IPY_MODEL_cfb307a7d47f4ea384d2d6255589bb41"], "layout": "IPY_MODEL_5d8428ee70674264bf97355a8424a6a0"}}, "c1eeeaedc8d441379b0e8ed99846e5dd": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "c29b7eaad8b24b55afc1f099d6f861be": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "c4bd31d29ce24daea077096fd10fa342": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "c7c6e2a214b5497489460629e0c1ae4e": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "ca37e94ac55a4e32abaaa61a3f7017ec": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_58425cbc749448d8a817014e863d83be", "placeholder": "\u200b", "style": "IPY_MODEL_3ab9a366034945f1907888a872ea2b6a", "value": "Y: 100%"}}, "cf542ff44eff4041ae9d1c07d1c556c7": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "cfb307a7d47f4ea384d2d6255589bb41": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_b49c6d1c08654502876abb8cbacb13e0", "placeholder": "\u200b", "style": "IPY_MODEL_141847590584424fac3a00311044edf8", "value": " 63/63 [00:06<00:00, 13.87it/s]"}}, "d35c66d02ce64fdeb60424bc0d46a83b": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_8cec4fdbcbf14fbd81cc75f0872cbb56", "placeholder": "\u200b", "style": "IPY_MODEL_604120c197cf4716949fbdfee1e1f359", "value": "Y: 100%"}}, "d4d6129402bc404b8362e3f414f6dbf8": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "d61de198da134553880e0c3add1096ca": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "d73140d5a7ef42219fb44899682652b4": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "dde9eef6021f49c5b768328419c1b967": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "deba10cc58564cd4b066af0a1964c427": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "df4ec876a3b546c5a0e9e5330c627166": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_1a68c640ed6b4a66ac13fa12d8b1ef02", "IPY_MODEL_918321cf3632434ca9429ddcb7fc7b14", "IPY_MODEL_96060299083d48ed923b680a31aec8ba"], "layout": "IPY_MODEL_718c4b8bcdee4777a5668b961cfab9d3"}}, "e0044d5acf594162be2ebe7dc3a533ab": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "e0fbc58c20ed4f8ead9a8d6806148283": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "e1ece9a7ec844b40869b32077f0c229f": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "e3ad624d45334a37ae631a4f27e33594": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_7cccf67d4d6e4916b11f0dc2e9585bfa", "max": 2.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_fe25d74ce606464486ad705c766adf9e", "value": 2.0}}, "e6a41eca74474bed9ef406a8d5bc28f3": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "e9d89a1041fb4d67855a8fcb095a2b2a": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "eb2d9afce5254567a633934333c72bdf": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "eed15db97f744d948679033cb59261b3": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "f083716ef56c4765ad3b3cb302c54455": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_f6f41c587134477b93badea78ea245d7", "max": 63.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_eb2d9afce5254567a633934333c72bdf", "value": 63.0}}, "f143c377fb334dea942f3be9a641a174": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_13542511c4934fb6b5c2b113f24ecedd", "placeholder": "\u200b", "style": "IPY_MODEL_b612bb6e9e8e4b2b84f2772aaa0aad8c", "value": "Mn-Y: 100%"}}, "f6f41c587134477b93badea78ea245d7": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "f7ccd05799064d029bc0820221fb418b": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_52f8800d52ad47048d0480a88bc90e28", "placeholder": "\u200b", "style": "IPY_MODEL_b52137ccef614800932881fed6276df1", "value": " 2/2 [00:11<00:00, 5.18s/it]"}}, "fb208cf9c2d04072901f03b777729956": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_514558aa4e3d4f9e99324bf5cbcc337e", "placeholder": "\u200b", "style": "IPY_MODEL_e6a41eca74474bed9ef406a8d5bc28f3", "value": "100%"}}, "fe25d74ce606464486ad705c766adf9e": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "ff6482a5fd3948348c536fdb87662e15": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}}, "version_major": 2, "version_minor": 0} ',tiles:["https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-carto-darkmatter",type:"raster",source:"plotly-carto-darkmatter",minzoom:0,maxzoom:22}]},"stamen-terrain":{id:"stamen-terrain",version:8,sources:{"plotly-stamen-terrain":{type:"raster",attribution:'Map tiles by Stamen Designdth": null}}, "a4266c7e87a04acaabad735c033bfed9": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_8ae6850b39ee4755a0e29c7e2e48e534", "placeholder": "\u200b", "style": "IPY_MODEL_21fd2d5ae60b4015bb6005263e86568e", "value": " 63/63 [00:06<00:00, 5.58it/s]"}}, "a47560a698484b4cbb388cf2bf5118c3": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "a56ef51a89514f1baded43b8d0f61781": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "a6ead31bd8d6446d88e154e9822c139e": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "a7342659259742d68da38d3e58155f0b": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "a805fb3010c64042884e109d4839dfa7": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_018870e0478f4934b72d7840927d67be", "placeholder": "\u200b", "style": "IPY_MODEL_a56ef51a89514f1baded43b8d0f61781", "value": "C-Cl-Li-Mn: 100%"}}, "ab6c47e32fa3414eacec2122057c4ee5": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_51d31f3df6274ccd90a89a94333ce830", "placeholder": "\u200b", "style": "IPY_MODEL_c7c6e2a214b5497489460629e0c1ae4e", "value": " 3/3 [00:00<00:00, 6.50it/s]"}}, "aceecac17e6746f896db4bda21023182": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b3d004be73fd47c5933d183101127478": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b40a2613eb5d4b93a255744d9870ad95": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "b49c6d1c08654502876abb8cbacb13e0": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b52137ccef614800932881fed6276df1": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "b612bb6e9e8e4b2b84f2772aaa0aad8c": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "ba5e47ec82b14cb39624fdcb1cea333c": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_4af532d2e71042d29fa5357476a5d30d", "IPY_MODEL_f083716ef56c4765ad3b3cb302c54455", "IPY_MODEL_cfb307a7d47f4ea384d2d6255589bb41"], "layout": "IPY_MODEL_5d8428ee70674264bf97355a8424a6a0"}}, "c1eeeaedc8d441379b0e8ed99846e5dd": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "c29b7eaad8b24b55afc1f099d6f861be": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "c4bd31d29ce24daea077096fd10fa342": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "c7c6e2a214b5497489460629e0c1ae4e": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "ca37e94ac55a4e32abaaa61a3f7017ec": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_58425cbc749448d8a817014e863d83be", "placeholder": "\u200b", "style": "IPY_MODEL_3ab9a366034945f1907888a872ea2b6a", "value": "Y: 100%"}}, "cf542ff44eff4041ae9d1c07d1c556c7": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "cfb307a7d47f4ea384d2d6255589bb41": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_b49c6d1c08654502876abb8cbacb13e0", "placeholder": "\u200b", "style": "IPY_MODEL_141847590584424fac3a00311044edf8", "value": " 63/63 [00:06<00:00, 13.87it/s]"}}, "d35c66d02ce64fdeb60424bc0d46a83b": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_8cec4fdbcbf14fbd81cc75f0872cbb56", "placeholder": "\u200b", "style": "IPY_MODEL_604120c197cf4716949fbdfee1e1f359", "value": "Y: 100%"}}, "d4d6129402bc404b8362e3f414f6dbf8": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "d61de198da134553880e0c3add1096ca": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "d73140d5a7ef42219fb44899682652b4": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "dde9eef6021f49c5b768328419c1b967": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "deba10cc58564cd4b066af0a1964c427": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "df4ec876a3b546c5a0e9e5330c627166": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_1a68c640ed6b4a66ac13fa12d8b1ef02", "IPY_MODEL_918321cf3632434ca9429ddcb7fc7b14", "IPY_MODEL_96060299083d48ed923b680a31aec8ba"], "layout": "IPY_MODEL_718c4b8bcdee4777a5668b961cfab9d3"}}, "e0044d5acf594162be2ebe7dc3a533ab": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "e0fbc58c20ed4f8ead9a8d6806148283": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "e1ece9a7ec844b40869b32077f0c229f": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "e3ad624d45334a37ae631a4f27e33594": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_7cccf67d4d6e4916b11f0dc2e9585bfa", "max": 2.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_fe25d74ce606464486ad705c766adf9e", "value": 2.0}}, "e6a41eca74474bed9ef406a8d5bc28f3": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "e9d89a1041fb4d67855a8fcb095a2b2a": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "eb2d9afce5254567a633934333c72bdf": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "eed15db97f744d948679033cb59261b3": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "f083716ef56c4765ad3b3cb302c54455": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_f6f41c587134477b93badea78ea245d7", "max": 63.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_eb2d9afce5254567a633934333c72bdf", "value": 63.0}}, "f143c377fb334dea942f3be9a641a174": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_13542511c4934fb6b5c2b113f24ecedd", "placeholder": "\u200b", "style": "IPY_MODEL_b612bb6e9e8e4b2b84f2772aaa0aad8c", "value": "Mn-Y: 100%"}}, "f6f41c587134477b93badea78ea245d7": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "f7ccd05799064d029bc0820221fb418b": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_52f8800d52ad47048d0480a88bc90e28", "placeholder": "\u200b", "style": "IPY_MODEL_b52137ccef614800932881fed6276df1", "value": " 2/2 [00:11<00:00, 5.18s/it]"}}, "fb208cf9c2d04072901f03b777729956": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_514558aa4e3d4f9e99324bf5cbcc337e", "placeholder": "\u200b", "style": "IPY_MODEL_e6a41eca74474bed9ef406a8d5bc28f3", "value": "100%"}}, "fe25d74ce606464486ad705c766adf9e": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "ff6482a5fd3948348c536fdb87662e15": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}}, "version_major": 2, "version_minor": 0} , under CC BY 3.0er-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_8ae6850b39ee4755a0e29c7e2e48e534", "placeholder": "\u200b", "style": "IPY_MODEL_21fd2d5ae60b4015bb6005263e86568e", "value": " 63/63 [00:06<00:00, 5.58it/s]"}}, "a47560a698484b4cbb388cf2bf5118c3": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "a56ef51a89514f1baded43b8d0f61781": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "a6ead31bd8d6446d88e154e9822c139e": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "a7342659259742d68da38d3e58155f0b": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "a805fb3010c64042884e109d4839dfa7": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_018870e0478f4934b72d7840927d67be", "placeholder": "\u200b", "style": "IPY_MODEL_a56ef51a89514f1baded43b8d0f61781", "value": "C-Cl-Li-Mn: 100%"}}, "ab6c47e32fa3414eacec2122057c4ee5": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_51d31f3df6274ccd90a89a94333ce830", "placeholder": "\u200b", "style": "IPY_MODEL_c7c6e2a214b5497489460629e0c1ae4e", "value": " 3/3 [00:00<00:00, 6.50it/s]"}}, "aceecac17e6746f896db4bda21023182": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b3d004be73fd47c5933d183101127478": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b40a2613eb5d4b93a255744d9870ad95": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "b49c6d1c08654502876abb8cbacb13e0": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b52137ccef614800932881fed6276df1": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "b612bb6e9e8e4b2b84f2772aaa0aad8c": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "ba5e47ec82b14cb39624fdcb1cea333c": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_4af532d2e71042d29fa5357476a5d30d", "IPY_MODEL_f083716ef56c4765ad3b3cb302c54455", "IPY_MODEL_cfb307a7d47f4ea384d2d6255589bb41"], "layout": "IPY_MODEL_5d8428ee70674264bf97355a8424a6a0"}}, "c1eeeaedc8d441379b0e8ed99846e5dd": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "c29b7eaad8b24b55afc1f099d6f861be": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "c4bd31d29ce24daea077096fd10fa342": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "c7c6e2a214b5497489460629e0c1ae4e": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "ca37e94ac55a4e32abaaa61a3f7017ec": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_58425cbc749448d8a817014e863d83be", "placeholder": "\u200b", "style": "IPY_MODEL_3ab9a366034945f1907888a872ea2b6a", "value": "Y: 100%"}}, "cf542ff44eff4041ae9d1c07d1c556c7": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "cfb307a7d47f4ea384d2d6255589bb41": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_b49c6d1c08654502876abb8cbacb13e0", "placeholder": "\u200b", "style": "IPY_MODEL_141847590584424fac3a00311044edf8", "value": " 63/63 [00:06<00:00, 13.87it/s]"}}, "d35c66d02ce64fdeb60424bc0d46a83b": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_8cec4fdbcbf14fbd81cc75f0872cbb56", "placeholder": "\u200b", "style": "IPY_MODEL_604120c197cf4716949fbdfee1e1f359", "value": "Y: 100%"}}, "d4d6129402bc404b8362e3f414f6dbf8": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "d61de198da134553880e0c3add1096ca": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "d73140d5a7ef42219fb44899682652b4": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "dde9eef6021f49c5b768328419c1b967": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "deba10cc58564cd4b066af0a1964c427": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "df4ec876a3b546c5a0e9e5330c627166": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_1a68c640ed6b4a66ac13fa12d8b1ef02", "IPY_MODEL_918321cf3632434ca9429ddcb7fc7b14", "IPY_MODEL_96060299083d48ed923b680a31aec8ba"], "layout": "IPY_MODEL_718c4b8bcdee4777a5668b961cfab9d3"}}, "e0044d5acf594162be2ebe7dc3a533ab": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "e0fbc58c20ed4f8ead9a8d6806148283": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "e1ece9a7ec844b40869b32077f0c229f": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "e3ad624d45334a37ae631a4f27e33594": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_7cccf67d4d6e4916b11f0dc2e9585bfa", "max": 2.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_fe25d74ce606464486ad705c766adf9e", "value": 2.0}}, "e6a41eca74474bed9ef406a8d5bc28f3": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "e9d89a1041fb4d67855a8fcb095a2b2a": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "eb2d9afce5254567a633934333c72bdf": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "eed15db97f744d948679033cb59261b3": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "f083716ef56c4765ad3b3cb302c54455": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_f6f41c587134477b93badea78ea245d7", "max": 63.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_eb2d9afce5254567a633934333c72bdf", "value": 63.0}}, "f143c377fb334dea942f3be9a641a174": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_13542511c4934fb6b5c2b113f24ecedd", "placeholder": "\u200b", "style": "IPY_MODEL_b612bb6e9e8e4b2b84f2772aaa0aad8c", "value": "Mn-Y: 100%"}}, "f6f41c587134477b93badea78ea245d7": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "f7ccd05799064d029bc0820221fb418b": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_52f8800d52ad47048d0480a88bc90e28", "placeholder": "\u200b", "style": "IPY_MODEL_b52137ccef614800932881fed6276df1", "value": " 2/2 [00:11<00:00, 5.18s/it]"}}, "fb208cf9c2d04072901f03b777729956": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_514558aa4e3d4f9e99324bf5cbcc337e", "placeholder": "\u200b", "style": "IPY_MODEL_e6a41eca74474bed9ef406a8d5bc28f3", "value": "100%"}}, "fe25d74ce606464486ad705c766adf9e": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "ff6482a5fd3948348c536fdb87662e15": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}}, "version_major": 2, "version_minor": 0} | Data by OpenStreetMapame": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_8ae6850b39ee4755a0e29c7e2e48e534", "placeholder": "\u200b", "style": "IPY_MODEL_21fd2d5ae60b4015bb6005263e86568e", "value": " 63/63 [00:06<00:00, 5.58it/s]"}}, "a47560a698484b4cbb388cf2bf5118c3": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "a56ef51a89514f1baded43b8d0f61781": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "a6ead31bd8d6446d88e154e9822c139e": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "a7342659259742d68da38d3e58155f0b": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "a805fb3010c64042884e109d4839dfa7": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_018870e0478f4934b72d7840927d67be", "placeholder": "\u200b", "style": "IPY_MODEL_a56ef51a89514f1baded43b8d0f61781", "value": "C-Cl-Li-Mn: 100%"}}, "ab6c47e32fa3414eacec2122057c4ee5": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_51d31f3df6274ccd90a89a94333ce830", "placeholder": "\u200b", "style": "IPY_MODEL_c7c6e2a214b5497489460629e0c1ae4e", "value": " 3/3 [00:00<00:00, 6.50it/s]"}}, "aceecac17e6746f896db4bda21023182": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b3d004be73fd47c5933d183101127478": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b40a2613eb5d4b93a255744d9870ad95": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "b49c6d1c08654502876abb8cbacb13e0": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b52137ccef614800932881fed6276df1": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "b612bb6e9e8e4b2b84f2772aaa0aad8c": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "ba5e47ec82b14cb39624fdcb1cea333c": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_4af532d2e71042d29fa5357476a5d30d", "IPY_MODEL_f083716ef56c4765ad3b3cb302c54455", "IPY_MODEL_cfb307a7d47f4ea384d2d6255589bb41"], "layout": "IPY_MODEL_5d8428ee70674264bf97355a8424a6a0"}}, "c1eeeaedc8d441379b0e8ed99846e5dd": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "c29b7eaad8b24b55afc1f099d6f861be": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "c4bd31d29ce24daea077096fd10fa342": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "c7c6e2a214b5497489460629e0c1ae4e": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "ca37e94ac55a4e32abaaa61a3f7017ec": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_58425cbc749448d8a817014e863d83be", "placeholder": "\u200b", "style": "IPY_MODEL_3ab9a366034945f1907888a872ea2b6a", "value": "Y: 100%"}}, "cf542ff44eff4041ae9d1c07d1c556c7": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "cfb307a7d47f4ea384d2d6255589bb41": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_b49c6d1c08654502876abb8cbacb13e0", "placeholder": "\u200b", "style": "IPY_MODEL_141847590584424fac3a00311044edf8", "value": " 63/63 [00:06<00:00, 13.87it/s]"}}, "d35c66d02ce64fdeb60424bc0d46a83b": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_8cec4fdbcbf14fbd81cc75f0872cbb56", "placeholder": "\u200b", "style": "IPY_MODEL_604120c197cf4716949fbdfee1e1f359", "value": "Y: 100%"}}, "d4d6129402bc404b8362e3f414f6dbf8": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "d61de198da134553880e0c3add1096ca": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "d73140d5a7ef42219fb44899682652b4": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "dde9eef6021f49c5b768328419c1b967": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "deba10cc58564cd4b066af0a1964c427": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "df4ec876a3b546c5a0e9e5330c627166": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_1a68c640ed6b4a66ac13fa12d8b1ef02", "IPY_MODEL_918321cf3632434ca9429ddcb7fc7b14", "IPY_MODEL_96060299083d48ed923b680a31aec8ba"], "layout": "IPY_MODEL_718c4b8bcdee4777a5668b961cfab9d3"}}, "e0044d5acf594162be2ebe7dc3a533ab": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "e0fbc58c20ed4f8ead9a8d6806148283": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "e1ece9a7ec844b40869b32077f0c229f": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "e3ad624d45334a37ae631a4f27e33594": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_7cccf67d4d6e4916b11f0dc2e9585bfa", "max": 2.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_fe25d74ce606464486ad705c766adf9e", "value": 2.0}}, "e6a41eca74474bed9ef406a8d5bc28f3": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "e9d89a1041fb4d67855a8fcb095a2b2a": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "eb2d9afce5254567a633934333c72bdf": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "eed15db97f744d948679033cb59261b3": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "f083716ef56c4765ad3b3cb302c54455": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_f6f41c587134477b93badea78ea245d7", "max": 63.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_eb2d9afce5254567a633934333c72bdf", "value": 63.0}}, "f143c377fb334dea942f3be9a641a174": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_13542511c4934fb6b5c2b113f24ecedd", "placeholder": "\u200b", "style": "IPY_MODEL_b612bb6e9e8e4b2b84f2772aaa0aad8c", "value": "Mn-Y: 100%"}}, "f6f41c587134477b93badea78ea245d7": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "f7ccd05799064d029bc0820221fb418b": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_52f8800d52ad47048d0480a88bc90e28", "placeholder": "\u200b", "style": "IPY_MODEL_b52137ccef614800932881fed6276df1", "value": " 2/2 [00:11<00:00, 5.18s/it]"}}, "fb208cf9c2d04072901f03b777729956": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_514558aa4e3d4f9e99324bf5cbcc337e", "placeholder": "\u200b", "style": "IPY_MODEL_e6a41eca74474bed9ef406a8d5bc28f3", "value": "100%"}}, "fe25d74ce606464486ad705c766adf9e": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "ff6482a5fd3948348c536fdb87662e15": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}}, "version_major": 2, "version_minor": 0} , under ODbL "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_8ae6850b39ee4755a0e29c7e2e48e534", "placeholder": "\u200b", "style": "IPY_MODEL_21fd2d5ae60b4015bb6005263e86568e", "value": " 63/63 [00:06<00:00, 5.58it/s]"}}, "a47560a698484b4cbb388cf2bf5118c3": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "a56ef51a89514f1baded43b8d0f61781": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "a6ead31bd8d6446d88e154e9822c139e": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "a7342659259742d68da38d3e58155f0b": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "a805fb3010c64042884e109d4839dfa7": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_018870e0478f4934b72d7840927d67be", "placeholder": "\u200b", "style": "IPY_MODEL_a56ef51a89514f1baded43b8d0f61781", "value": "C-Cl-Li-Mn: 100%"}}, "ab6c47e32fa3414eacec2122057c4ee5": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_51d31f3df6274ccd90a89a94333ce830", "placeholder": "\u200b", "style": "IPY_MODEL_c7c6e2a214b5497489460629e0c1ae4e", "value": " 3/3 [00:00<00:00, 6.50it/s]"}}, "aceecac17e6746f896db4bda21023182": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b3d004be73fd47c5933d183101127478": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b40a2613eb5d4b93a255744d9870ad95": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "b49c6d1c08654502876abb8cbacb13e0": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b52137ccef614800932881fed6276df1": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "b612bb6e9e8e4b2b84f2772aaa0aad8c": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "ba5e47ec82b14cb39624fdcb1cea333c": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_4af532d2e71042d29fa5357476a5d30d", "IPY_MODEL_f083716ef56c4765ad3b3cb302c54455", "IPY_MODEL_cfb307a7d47f4ea384d2d6255589bb41"], "layout": "IPY_MODEL_5d8428ee70674264bf97355a8424a6a0"}}, "c1eeeaedc8d441379b0e8ed99846e5dd": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "c29b7eaad8b24b55afc1f099d6f861be": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "c4bd31d29ce24daea077096fd10fa342": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "c7c6e2a214b5497489460629e0c1ae4e": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "ca37e94ac55a4e32abaaa61a3f7017ec": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_58425cbc749448d8a817014e863d83be", "placeholder": "\u200b", "style": "IPY_MODEL_3ab9a366034945f1907888a872ea2b6a", "value": "Y: 100%"}}, "cf542ff44eff4041ae9d1c07d1c556c7": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "cfb307a7d47f4ea384d2d6255589bb41": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_b49c6d1c08654502876abb8cbacb13e0", "placeholder": "\u200b", "style": "IPY_MODEL_141847590584424fac3a00311044edf8", "value": " 63/63 [00:06<00:00, 13.87it/s]"}}, "d35c66d02ce64fdeb60424bc0d46a83b": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_8cec4fdbcbf14fbd81cc75f0872cbb56", "placeholder": "\u200b", "style": "IPY_MODEL_604120c197cf4716949fbdfee1e1f359", "value": "Y: 100%"}}, "d4d6129402bc404b8362e3f414f6dbf8": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "d61de198da134553880e0c3add1096ca": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "d73140d5a7ef42219fb44899682652b4": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "dde9eef6021f49c5b768328419c1b967": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "deba10cc58564cd4b066af0a1964c427": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "df4ec876a3b546c5a0e9e5330c627166": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_1a68c640ed6b4a66ac13fa12d8b1ef02", "IPY_MODEL_918321cf3632434ca9429ddcb7fc7b14", "IPY_MODEL_96060299083d48ed923b680a31aec8ba"], "layout": "IPY_MODEL_718c4b8bcdee4777a5668b961cfab9d3"}}, "e0044d5acf594162be2ebe7dc3a533ab": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "e0fbc58c20ed4f8ead9a8d6806148283": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "e1ece9a7ec844b40869b32077f0c229f": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "e3ad624d45334a37ae631a4f27e33594": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_7cccf67d4d6e4916b11f0dc2e9585bfa", "max": 2.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_fe25d74ce606464486ad705c766adf9e", "value": 2.0}}, "e6a41eca74474bed9ef406a8d5bc28f3": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "e9d89a1041fb4d67855a8fcb095a2b2a": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "eb2d9afce5254567a633934333c72bdf": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "eed15db97f744d948679033cb59261b3": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "f083716ef56c4765ad3b3cb302c54455": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_f6f41c587134477b93badea78ea245d7", "max": 63.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_eb2d9afce5254567a633934333c72bdf", "value": 63.0}}, "f143c377fb334dea942f3be9a641a174": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_13542511c4934fb6b5c2b113f24ecedd", "placeholder": "\u200b", "style": "IPY_MODEL_b612bb6e9e8e4b2b84f2772aaa0aad8c", "value": "Mn-Y: 100%"}}, "f6f41c587134477b93badea78ea245d7": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "f7ccd05799064d029bc0820221fb418b": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_52f8800d52ad47048d0480a88bc90e28", "placeholder": "\u200b", "style": "IPY_MODEL_b52137ccef614800932881fed6276df1", "value": " 2/2 [00:11<00:00, 5.18s/it]"}}, "fb208cf9c2d04072901f03b777729956": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_514558aa4e3d4f9e99324bf5cbcc337e", "placeholder": "\u200b", "style": "IPY_MODEL_e6a41eca74474bed9ef406a8d5bc28f3", "value": "100%"}}, "fe25d74ce606464486ad705c766adf9e": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "ff6482a5fd3948348c536fdb87662e15": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}}, "version_major": 2, "version_minor": 0} .',tiles:["https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-stamen-terrain",type:"raster",source:"plotly-stamen-terrain",minzoom:0,maxzoom:22}]},"stamen-toner":{id:"stamen-toner",version:8,sources:{"plotly-stamen-toner":{type:"raster",attribution:'Map tiles by Stamen DesignIPY_MODEL_21fd2d5ae60b4015bb6005263e86568e", "value": " 63/63 [00:06<00:00, 5.58it/s]"}}, "a47560a698484b4cbb388cf2bf5118c3": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "a56ef51a89514f1baded43b8d0f61781": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "a6ead31bd8d6446d88e154e9822c139e": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "a7342659259742d68da38d3e58155f0b": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "a805fb3010c64042884e109d4839dfa7": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_018870e0478f4934b72d7840927d67be", "placeholder": "\u200b", "style": "IPY_MODEL_a56ef51a89514f1baded43b8d0f61781", "value": "C-Cl-Li-Mn: 100%"}}, "ab6c47e32fa3414eacec2122057c4ee5": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_51d31f3df6274ccd90a89a94333ce830", "placeholder": "\u200b", "style": "IPY_MODEL_c7c6e2a214b5497489460629e0c1ae4e", "value": " 3/3 [00:00<00:00, 6.50it/s]"}}, "aceecac17e6746f896db4bda21023182": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b3d004be73fd47c5933d183101127478": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b40a2613eb5d4b93a255744d9870ad95": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "b49c6d1c08654502876abb8cbacb13e0": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b52137ccef614800932881fed6276df1": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "b612bb6e9e8e4b2b84f2772aaa0aad8c": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "ba5e47ec82b14cb39624fdcb1cea333c": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_4af532d2e71042d29fa5357476a5d30d", "IPY_MODEL_f083716ef56c4765ad3b3cb302c54455", "IPY_MODEL_cfb307a7d47f4ea384d2d6255589bb41"], "layout": "IPY_MODEL_5d8428ee70674264bf97355a8424a6a0"}}, "c1eeeaedc8d441379b0e8ed99846e5dd": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "c29b7eaad8b24b55afc1f099d6f861be": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "c4bd31d29ce24daea077096fd10fa342": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "c7c6e2a214b5497489460629e0c1ae4e": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "ca37e94ac55a4e32abaaa61a3f7017ec": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_58425cbc749448d8a817014e863d83be", "placeholder": "\u200b", "style": "IPY_MODEL_3ab9a366034945f1907888a872ea2b6a", "value": "Y: 100%"}}, "cf542ff44eff4041ae9d1c07d1c556c7": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "cfb307a7d47f4ea384d2d6255589bb41": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_b49c6d1c08654502876abb8cbacb13e0", "placeholder": "\u200b", "style": "IPY_MODEL_141847590584424fac3a00311044edf8", "value": " 63/63 [00:06<00:00, 13.87it/s]"}}, "d35c66d02ce64fdeb60424bc0d46a83b": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_8cec4fdbcbf14fbd81cc75f0872cbb56", "placeholder": "\u200b", "style": "IPY_MODEL_604120c197cf4716949fbdfee1e1f359", "value": "Y: 100%"}}, "d4d6129402bc404b8362e3f414f6dbf8": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "d61de198da134553880e0c3add1096ca": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "d73140d5a7ef42219fb44899682652b4": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "dde9eef6021f49c5b768328419c1b967": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "deba10cc58564cd4b066af0a1964c427": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "df4ec876a3b546c5a0e9e5330c627166": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_1a68c640ed6b4a66ac13fa12d8b1ef02", "IPY_MODEL_918321cf3632434ca9429ddcb7fc7b14", "IPY_MODEL_96060299083d48ed923b680a31aec8ba"], "layout": "IPY_MODEL_718c4b8bcdee4777a5668b961cfab9d3"}}, "e0044d5acf594162be2ebe7dc3a533ab": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "e0fbc58c20ed4f8ead9a8d6806148283": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "e1ece9a7ec844b40869b32077f0c229f": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "e3ad624d45334a37ae631a4f27e33594": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_7cccf67d4d6e4916b11f0dc2e9585bfa", "max": 2.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_fe25d74ce606464486ad705c766adf9e", "value": 2.0}}, "e6a41eca74474bed9ef406a8d5bc28f3": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "e9d89a1041fb4d67855a8fcb095a2b2a": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "eb2d9afce5254567a633934333c72bdf": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "eed15db97f744d948679033cb59261b3": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "f083716ef56c4765ad3b3cb302c54455": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_f6f41c587134477b93badea78ea245d7", "max": 63.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_eb2d9afce5254567a633934333c72bdf", "value": 63.0}}, "f143c377fb334dea942f3be9a641a174": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_13542511c4934fb6b5c2b113f24ecedd", "placeholder": "\u200b", "style": "IPY_MODEL_b612bb6e9e8e4b2b84f2772aaa0aad8c", "value": "Mn-Y: 100%"}}, "f6f41c587134477b93badea78ea245d7": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "f7ccd05799064d029bc0820221fb418b": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_52f8800d52ad47048d0480a88bc90e28", "placeholder": "\u200b", "style": "IPY_MODEL_b52137ccef614800932881fed6276df1", "value": " 2/2 [00:11<00:00, 5.18s/it]"}}, "fb208cf9c2d04072901f03b777729956": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_514558aa4e3d4f9e99324bf5cbcc337e", "placeholder": "\u200b", "style": "IPY_MODEL_e6a41eca74474bed9ef406a8d5bc28f3", "value": "100%"}}, "fe25d74ce606464486ad705c766adf9e": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "ff6482a5fd3948348c536fdb87662e15": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}}, "version_major": 2, "version_minor": 0} , under CC BY 3.0:00, 5.58it/s]"}}, "a47560a698484b4cbb388cf2bf5118c3": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "a56ef51a89514f1baded43b8d0f61781": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "a6ead31bd8d6446d88e154e9822c139e": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "a7342659259742d68da38d3e58155f0b": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "a805fb3010c64042884e109d4839dfa7": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_018870e0478f4934b72d7840927d67be", "placeholder": "\u200b", "style": "IPY_MODEL_a56ef51a89514f1baded43b8d0f61781", "value": "C-Cl-Li-Mn: 100%"}}, "ab6c47e32fa3414eacec2122057c4ee5": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_51d31f3df6274ccd90a89a94333ce830", "placeholder": "\u200b", "style": "IPY_MODEL_c7c6e2a214b5497489460629e0c1ae4e", "value": " 3/3 [00:00<00:00, 6.50it/s]"}}, "aceecac17e6746f896db4bda21023182": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b3d004be73fd47c5933d183101127478": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b40a2613eb5d4b93a255744d9870ad95": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "b49c6d1c08654502876abb8cbacb13e0": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b52137ccef614800932881fed6276df1": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "b612bb6e9e8e4b2b84f2772aaa0aad8c": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "ba5e47ec82b14cb39624fdcb1cea333c": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_4af532d2e71042d29fa5357476a5d30d", "IPY_MODEL_f083716ef56c4765ad3b3cb302c54455", "IPY_MODEL_cfb307a7d47f4ea384d2d6255589bb41"], "layout": "IPY_MODEL_5d8428ee70674264bf97355a8424a6a0"}}, "c1eeeaedc8d441379b0e8ed99846e5dd": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "c29b7eaad8b24b55afc1f099d6f861be": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "c4bd31d29ce24daea077096fd10fa342": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "c7c6e2a214b5497489460629e0c1ae4e": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "ca37e94ac55a4e32abaaa61a3f7017ec": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_58425cbc749448d8a817014e863d83be", "placeholder": "\u200b", "style": "IPY_MODEL_3ab9a366034945f1907888a872ea2b6a", "value": "Y: 100%"}}, "cf542ff44eff4041ae9d1c07d1c556c7": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "cfb307a7d47f4ea384d2d6255589bb41": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_b49c6d1c08654502876abb8cbacb13e0", "placeholder": "\u200b", "style": "IPY_MODEL_141847590584424fac3a00311044edf8", "value": " 63/63 [00:06<00:00, 13.87it/s]"}}, "d35c66d02ce64fdeb60424bc0d46a83b": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_8cec4fdbcbf14fbd81cc75f0872cbb56", "placeholder": "\u200b", "style": "IPY_MODEL_604120c197cf4716949fbdfee1e1f359", "value": "Y: 100%"}}, "d4d6129402bc404b8362e3f414f6dbf8": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "d61de198da134553880e0c3add1096ca": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "d73140d5a7ef42219fb44899682652b4": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "dde9eef6021f49c5b768328419c1b967": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "deba10cc58564cd4b066af0a1964c427": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "df4ec876a3b546c5a0e9e5330c627166": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_1a68c640ed6b4a66ac13fa12d8b1ef02", "IPY_MODEL_918321cf3632434ca9429ddcb7fc7b14", "IPY_MODEL_96060299083d48ed923b680a31aec8ba"], "layout": "IPY_MODEL_718c4b8bcdee4777a5668b961cfab9d3"}}, "e0044d5acf594162be2ebe7dc3a533ab": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "e0fbc58c20ed4f8ead9a8d6806148283": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "e1ece9a7ec844b40869b32077f0c229f": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "e3ad624d45334a37ae631a4f27e33594": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_7cccf67d4d6e4916b11f0dc2e9585bfa", "max": 2.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_fe25d74ce606464486ad705c766adf9e", "value": 2.0}}, "e6a41eca74474bed9ef406a8d5bc28f3": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "e9d89a1041fb4d67855a8fcb095a2b2a": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "eb2d9afce5254567a633934333c72bdf": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "eed15db97f744d948679033cb59261b3": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "f083716ef56c4765ad3b3cb302c54455": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_f6f41c587134477b93badea78ea245d7", "max": 63.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_eb2d9afce5254567a633934333c72bdf", "value": 63.0}}, "f143c377fb334dea942f3be9a641a174": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_13542511c4934fb6b5c2b113f24ecedd", "placeholder": "\u200b", "style": "IPY_MODEL_b612bb6e9e8e4b2b84f2772aaa0aad8c", "value": "Mn-Y: 100%"}}, "f6f41c587134477b93badea78ea245d7": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "f7ccd05799064d029bc0820221fb418b": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_52f8800d52ad47048d0480a88bc90e28", "placeholder": "\u200b", "style": "IPY_MODEL_b52137ccef614800932881fed6276df1", "value": " 2/2 [00:11<00:00, 5.18s/it]"}}, "fb208cf9c2d04072901f03b777729956": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_514558aa4e3d4f9e99324bf5cbcc337e", "placeholder": "\u200b", "style": "IPY_MODEL_e6a41eca74474bed9ef406a8d5bc28f3", "value": "100%"}}, "fe25d74ce606464486ad705c766adf9e": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "ff6482a5fd3948348c536fdb87662e15": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}}, "version_major": 2, "version_minor": 0} | Data by OpenStreetMap_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "a56ef51a89514f1baded43b8d0f61781": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "a6ead31bd8d6446d88e154e9822c139e": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "a7342659259742d68da38d3e58155f0b": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "a805fb3010c64042884e109d4839dfa7": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_018870e0478f4934b72d7840927d67be", "placeholder": "\u200b", "style": "IPY_MODEL_a56ef51a89514f1baded43b8d0f61781", "value": "C-Cl-Li-Mn: 100%"}}, "ab6c47e32fa3414eacec2122057c4ee5": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_51d31f3df6274ccd90a89a94333ce830", "placeholder": "\u200b", "style": "IPY_MODEL_c7c6e2a214b5497489460629e0c1ae4e", "value": " 3/3 [00:00<00:00, 6.50it/s]"}}, "aceecac17e6746f896db4bda21023182": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b3d004be73fd47c5933d183101127478": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b40a2613eb5d4b93a255744d9870ad95": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "b49c6d1c08654502876abb8cbacb13e0": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b52137ccef614800932881fed6276df1": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "b612bb6e9e8e4b2b84f2772aaa0aad8c": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "ba5e47ec82b14cb39624fdcb1cea333c": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_4af532d2e71042d29fa5357476a5d30d", "IPY_MODEL_f083716ef56c4765ad3b3cb302c54455", "IPY_MODEL_cfb307a7d47f4ea384d2d6255589bb41"], "layout": "IPY_MODEL_5d8428ee70674264bf97355a8424a6a0"}}, "c1eeeaedc8d441379b0e8ed99846e5dd": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "c29b7eaad8b24b55afc1f099d6f861be": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "c4bd31d29ce24daea077096fd10fa342": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "c7c6e2a214b5497489460629e0c1ae4e": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "ca37e94ac55a4e32abaaa61a3f7017ec": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_58425cbc749448d8a817014e863d83be", "placeholder": "\u200b", "style": "IPY_MODEL_3ab9a366034945f1907888a872ea2b6a", "value": "Y: 100%"}}, "cf542ff44eff4041ae9d1c07d1c556c7": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "cfb307a7d47f4ea384d2d6255589bb41": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_b49c6d1c08654502876abb8cbacb13e0", "placeholder": "\u200b", "style": "IPY_MODEL_141847590584424fac3a00311044edf8", "value": " 63/63 [00:06<00:00, 13.87it/s]"}}, "d35c66d02ce64fdeb60424bc0d46a83b": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_8cec4fdbcbf14fbd81cc75f0872cbb56", "placeholder": "\u200b", "style": "IPY_MODEL_604120c197cf4716949fbdfee1e1f359", "value": "Y: 100%"}}, "d4d6129402bc404b8362e3f414f6dbf8": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "d61de198da134553880e0c3add1096ca": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "d73140d5a7ef42219fb44899682652b4": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "dde9eef6021f49c5b768328419c1b967": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "deba10cc58564cd4b066af0a1964c427": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "df4ec876a3b546c5a0e9e5330c627166": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_1a68c640ed6b4a66ac13fa12d8b1ef02", "IPY_MODEL_918321cf3632434ca9429ddcb7fc7b14", "IPY_MODEL_96060299083d48ed923b680a31aec8ba"], "layout": "IPY_MODEL_718c4b8bcdee4777a5668b961cfab9d3"}}, "e0044d5acf594162be2ebe7dc3a533ab": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "e0fbc58c20ed4f8ead9a8d6806148283": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "e1ece9a7ec844b40869b32077f0c229f": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "e3ad624d45334a37ae631a4f27e33594": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_7cccf67d4d6e4916b11f0dc2e9585bfa", "max": 2.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_fe25d74ce606464486ad705c766adf9e", "value": 2.0}}, "e6a41eca74474bed9ef406a8d5bc28f3": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "e9d89a1041fb4d67855a8fcb095a2b2a": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "eb2d9afce5254567a633934333c72bdf": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "eed15db97f744d948679033cb59261b3": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "f083716ef56c4765ad3b3cb302c54455": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_f6f41c587134477b93badea78ea245d7", "max": 63.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_eb2d9afce5254567a633934333c72bdf", "value": 63.0}}, "f143c377fb334dea942f3be9a641a174": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_13542511c4934fb6b5c2b113f24ecedd", "placeholder": "\u200b", "style": "IPY_MODEL_b612bb6e9e8e4b2b84f2772aaa0aad8c", "value": "Mn-Y: 100%"}}, "f6f41c587134477b93badea78ea245d7": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "f7ccd05799064d029bc0820221fb418b": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_52f8800d52ad47048d0480a88bc90e28", "placeholder": "\u200b", "style": "IPY_MODEL_b52137ccef614800932881fed6276df1", "value": " 2/2 [00:11<00:00, 5.18s/it]"}}, "fb208cf9c2d04072901f03b777729956": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_514558aa4e3d4f9e99324bf5cbcc337e", "placeholder": "\u200b", "style": "IPY_MODEL_e6a41eca74474bed9ef406a8d5bc28f3", "value": "100%"}}, "fe25d74ce606464486ad705c766adf9e": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "ff6482a5fd3948348c536fdb87662e15": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}}, "version_major": 2, "version_minor": 0} , under ODbL.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "a56ef51a89514f1baded43b8d0f61781": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "a6ead31bd8d6446d88e154e9822c139e": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "a7342659259742d68da38d3e58155f0b": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "a805fb3010c64042884e109d4839dfa7": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_018870e0478f4934b72d7840927d67be", "placeholder": "\u200b", "style": "IPY_MODEL_a56ef51a89514f1baded43b8d0f61781", "value": "C-Cl-Li-Mn: 100%"}}, "ab6c47e32fa3414eacec2122057c4ee5": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_51d31f3df6274ccd90a89a94333ce830", "placeholder": "\u200b", "style": "IPY_MODEL_c7c6e2a214b5497489460629e0c1ae4e", "value": " 3/3 [00:00<00:00, 6.50it/s]"}}, "aceecac17e6746f896db4bda21023182": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b3d004be73fd47c5933d183101127478": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b40a2613eb5d4b93a255744d9870ad95": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "b49c6d1c08654502876abb8cbacb13e0": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b52137ccef614800932881fed6276df1": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "b612bb6e9e8e4b2b84f2772aaa0aad8c": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "ba5e47ec82b14cb39624fdcb1cea333c": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_4af532d2e71042d29fa5357476a5d30d", "IPY_MODEL_f083716ef56c4765ad3b3cb302c54455", "IPY_MODEL_cfb307a7d47f4ea384d2d6255589bb41"], "layout": "IPY_MODEL_5d8428ee70674264bf97355a8424a6a0"}}, "c1eeeaedc8d441379b0e8ed99846e5dd": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "c29b7eaad8b24b55afc1f099d6f861be": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "c4bd31d29ce24daea077096fd10fa342": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "c7c6e2a214b5497489460629e0c1ae4e": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "ca37e94ac55a4e32abaaa61a3f7017ec": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_58425cbc749448d8a817014e863d83be", "placeholder": "\u200b", "style": "IPY_MODEL_3ab9a366034945f1907888a872ea2b6a", "value": "Y: 100%"}}, "cf542ff44eff4041ae9d1c07d1c556c7": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "cfb307a7d47f4ea384d2d6255589bb41": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_b49c6d1c08654502876abb8cbacb13e0", "placeholder": "\u200b", "style": "IPY_MODEL_141847590584424fac3a00311044edf8", "value": " 63/63 [00:06<00:00, 13.87it/s]"}}, "d35c66d02ce64fdeb60424bc0d46a83b": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_8cec4fdbcbf14fbd81cc75f0872cbb56", "placeholder": "\u200b", "style": "IPY_MODEL_604120c197cf4716949fbdfee1e1f359", "value": "Y: 100%"}}, "d4d6129402bc404b8362e3f414f6dbf8": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "d61de198da134553880e0c3add1096ca": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "d73140d5a7ef42219fb44899682652b4": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "dde9eef6021f49c5b768328419c1b967": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "deba10cc58564cd4b066af0a1964c427": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "df4ec876a3b546c5a0e9e5330c627166": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_1a68c640ed6b4a66ac13fa12d8b1ef02", "IPY_MODEL_918321cf3632434ca9429ddcb7fc7b14", "IPY_MODEL_96060299083d48ed923b680a31aec8ba"], "layout": "IPY_MODEL_718c4b8bcdee4777a5668b961cfab9d3"}}, "e0044d5acf594162be2ebe7dc3a533ab": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "e0fbc58c20ed4f8ead9a8d6806148283": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "e1ece9a7ec844b40869b32077f0c229f": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "e3ad624d45334a37ae631a4f27e33594": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_7cccf67d4d6e4916b11f0dc2e9585bfa", "max": 2.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_fe25d74ce606464486ad705c766adf9e", "value": 2.0}}, "e6a41eca74474bed9ef406a8d5bc28f3": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "e9d89a1041fb4d67855a8fcb095a2b2a": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "eb2d9afce5254567a633934333c72bdf": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "eed15db97f744d948679033cb59261b3": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "f083716ef56c4765ad3b3cb302c54455": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_f6f41c587134477b93badea78ea245d7", "max": 63.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_eb2d9afce5254567a633934333c72bdf", "value": 63.0}}, "f143c377fb334dea942f3be9a641a174": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_13542511c4934fb6b5c2b113f24ecedd", "placeholder": "\u200b", "style": "IPY_MODEL_b612bb6e9e8e4b2b84f2772aaa0aad8c", "value": "Mn-Y: 100%"}}, "f6f41c587134477b93badea78ea245d7": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "f7ccd05799064d029bc0820221fb418b": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_52f8800d52ad47048d0480a88bc90e28", "placeholder": "\u200b", "style": "IPY_MODEL_b52137ccef614800932881fed6276df1", "value": " 2/2 [00:11<00:00, 5.18s/it]"}}, "fb208cf9c2d04072901f03b777729956": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_514558aa4e3d4f9e99324bf5cbcc337e", "placeholder": "\u200b", "style": "IPY_MODEL_e6a41eca74474bed9ef406a8d5bc28f3", "value": "100%"}}, "fe25d74ce606464486ad705c766adf9e": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "ff6482a5fd3948348c536fdb87662e15": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}}, "version_major": 2, "version_minor": 0} .',tiles:["https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-stamen-toner",type:"raster",source:"plotly-stamen-toner",minzoom:0,maxzoom:22}]},"stamen-watercolor":{id:"stamen-watercolor",version:8,sources:{"plotly-stamen-watercolor":{type:"raster",attribution:'Map tiles by Stamen Designdel_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "a6ead31bd8d6446d88e154e9822c139e": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "a7342659259742d68da38d3e58155f0b": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "a805fb3010c64042884e109d4839dfa7": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_018870e0478f4934b72d7840927d67be", "placeholder": "\u200b", "style": "IPY_MODEL_a56ef51a89514f1baded43b8d0f61781", "value": "C-Cl-Li-Mn: 100%"}}, "ab6c47e32fa3414eacec2122057c4ee5": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_51d31f3df6274ccd90a89a94333ce830", "placeholder": "\u200b", "style": "IPY_MODEL_c7c6e2a214b5497489460629e0c1ae4e", "value": " 3/3 [00:00<00:00, 6.50it/s]"}}, "aceecac17e6746f896db4bda21023182": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b3d004be73fd47c5933d183101127478": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b40a2613eb5d4b93a255744d9870ad95": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "b49c6d1c08654502876abb8cbacb13e0": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b52137ccef614800932881fed6276df1": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "b612bb6e9e8e4b2b84f2772aaa0aad8c": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "ba5e47ec82b14cb39624fdcb1cea333c": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_4af532d2e71042d29fa5357476a5d30d", "IPY_MODEL_f083716ef56c4765ad3b3cb302c54455", "IPY_MODEL_cfb307a7d47f4ea384d2d6255589bb41"], "layout": "IPY_MODEL_5d8428ee70674264bf97355a8424a6a0"}}, "c1eeeaedc8d441379b0e8ed99846e5dd": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "c29b7eaad8b24b55afc1f099d6f861be": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "c4bd31d29ce24daea077096fd10fa342": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "c7c6e2a214b5497489460629e0c1ae4e": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "ca37e94ac55a4e32abaaa61a3f7017ec": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_58425cbc749448d8a817014e863d83be", "placeholder": "\u200b", "style": "IPY_MODEL_3ab9a366034945f1907888a872ea2b6a", "value": "Y: 100%"}}, "cf542ff44eff4041ae9d1c07d1c556c7": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "cfb307a7d47f4ea384d2d6255589bb41": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_b49c6d1c08654502876abb8cbacb13e0", "placeholder": "\u200b", "style": "IPY_MODEL_141847590584424fac3a00311044edf8", "value": " 63/63 [00:06<00:00, 13.87it/s]"}}, "d35c66d02ce64fdeb60424bc0d46a83b": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_8cec4fdbcbf14fbd81cc75f0872cbb56", "placeholder": "\u200b", "style": "IPY_MODEL_604120c197cf4716949fbdfee1e1f359", "value": "Y: 100%"}}, "d4d6129402bc404b8362e3f414f6dbf8": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "d61de198da134553880e0c3add1096ca": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "d73140d5a7ef42219fb44899682652b4": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "dde9eef6021f49c5b768328419c1b967": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "deba10cc58564cd4b066af0a1964c427": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "df4ec876a3b546c5a0e9e5330c627166": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_1a68c640ed6b4a66ac13fa12d8b1ef02", "IPY_MODEL_918321cf3632434ca9429ddcb7fc7b14", "IPY_MODEL_96060299083d48ed923b680a31aec8ba"], "layout": "IPY_MODEL_718c4b8bcdee4777a5668b961cfab9d3"}}, "e0044d5acf594162be2ebe7dc3a533ab": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "e0fbc58c20ed4f8ead9a8d6806148283": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "e1ece9a7ec844b40869b32077f0c229f": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "e3ad624d45334a37ae631a4f27e33594": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_7cccf67d4d6e4916b11f0dc2e9585bfa", "max": 2.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_fe25d74ce606464486ad705c766adf9e", "value": 2.0}}, "e6a41eca74474bed9ef406a8d5bc28f3": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "e9d89a1041fb4d67855a8fcb095a2b2a": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "eb2d9afce5254567a633934333c72bdf": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "eed15db97f744d948679033cb59261b3": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "f083716ef56c4765ad3b3cb302c54455": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_f6f41c587134477b93badea78ea245d7", "max": 63.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_eb2d9afce5254567a633934333c72bdf", "value": 63.0}}, "f143c377fb334dea942f3be9a641a174": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_13542511c4934fb6b5c2b113f24ecedd", "placeholder": "\u200b", "style": "IPY_MODEL_b612bb6e9e8e4b2b84f2772aaa0aad8c", "value": "Mn-Y: 100%"}}, "f6f41c587134477b93badea78ea245d7": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "f7ccd05799064d029bc0820221fb418b": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_52f8800d52ad47048d0480a88bc90e28", "placeholder": "\u200b", "style": "IPY_MODEL_b52137ccef614800932881fed6276df1", "value": " 2/2 [00:11<00:00, 5.18s/it]"}}, "fb208cf9c2d04072901f03b777729956": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_514558aa4e3d4f9e99324bf5cbcc337e", "placeholder": "\u200b", "style": "IPY_MODEL_e6a41eca74474bed9ef406a8d5bc28f3", "value": "100%"}}, "fe25d74ce606464486ad705c766adf9e": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "ff6482a5fd3948348c536fdb87662e15": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}}, "version_major": 2, "version_minor": 0} , under CC BY 3.0 "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "a6ead31bd8d6446d88e154e9822c139e": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "a7342659259742d68da38d3e58155f0b": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "a805fb3010c64042884e109d4839dfa7": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_018870e0478f4934b72d7840927d67be", "placeholder": "\u200b", "style": "IPY_MODEL_a56ef51a89514f1baded43b8d0f61781", "value": "C-Cl-Li-Mn: 100%"}}, "ab6c47e32fa3414eacec2122057c4ee5": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_51d31f3df6274ccd90a89a94333ce830", "placeholder": "\u200b", "style": "IPY_MODEL_c7c6e2a214b5497489460629e0c1ae4e", "value": " 3/3 [00:00<00:00, 6.50it/s]"}}, "aceecac17e6746f896db4bda21023182": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b3d004be73fd47c5933d183101127478": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b40a2613eb5d4b93a255744d9870ad95": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "b49c6d1c08654502876abb8cbacb13e0": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b52137ccef614800932881fed6276df1": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "b612bb6e9e8e4b2b84f2772aaa0aad8c": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "ba5e47ec82b14cb39624fdcb1cea333c": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_4af532d2e71042d29fa5357476a5d30d", "IPY_MODEL_f083716ef56c4765ad3b3cb302c54455", "IPY_MODEL_cfb307a7d47f4ea384d2d6255589bb41"], "layout": "IPY_MODEL_5d8428ee70674264bf97355a8424a6a0"}}, "c1eeeaedc8d441379b0e8ed99846e5dd": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "c29b7eaad8b24b55afc1f099d6f861be": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "c4bd31d29ce24daea077096fd10fa342": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "c7c6e2a214b5497489460629e0c1ae4e": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "ca37e94ac55a4e32abaaa61a3f7017ec": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_58425cbc749448d8a817014e863d83be", "placeholder": "\u200b", "style": "IPY_MODEL_3ab9a366034945f1907888a872ea2b6a", "value": "Y: 100%"}}, "cf542ff44eff4041ae9d1c07d1c556c7": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "cfb307a7d47f4ea384d2d6255589bb41": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_b49c6d1c08654502876abb8cbacb13e0", "placeholder": "\u200b", "style": "IPY_MODEL_141847590584424fac3a00311044edf8", "value": " 63/63 [00:06<00:00, 13.87it/s]"}}, "d35c66d02ce64fdeb60424bc0d46a83b": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_8cec4fdbcbf14fbd81cc75f0872cbb56", "placeholder": "\u200b", "style": "IPY_MODEL_604120c197cf4716949fbdfee1e1f359", "value": "Y: 100%"}}, "d4d6129402bc404b8362e3f414f6dbf8": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "d61de198da134553880e0c3add1096ca": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "d73140d5a7ef42219fb44899682652b4": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "dde9eef6021f49c5b768328419c1b967": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "deba10cc58564cd4b066af0a1964c427": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "df4ec876a3b546c5a0e9e5330c627166": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_1a68c640ed6b4a66ac13fa12d8b1ef02", "IPY_MODEL_918321cf3632434ca9429ddcb7fc7b14", "IPY_MODEL_96060299083d48ed923b680a31aec8ba"], "layout": "IPY_MODEL_718c4b8bcdee4777a5668b961cfab9d3"}}, "e0044d5acf594162be2ebe7dc3a533ab": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "e0fbc58c20ed4f8ead9a8d6806148283": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "e1ece9a7ec844b40869b32077f0c229f": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "e3ad624d45334a37ae631a4f27e33594": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_7cccf67d4d6e4916b11f0dc2e9585bfa", "max": 2.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_fe25d74ce606464486ad705c766adf9e", "value": 2.0}}, "e6a41eca74474bed9ef406a8d5bc28f3": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "e9d89a1041fb4d67855a8fcb095a2b2a": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "eb2d9afce5254567a633934333c72bdf": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "eed15db97f744d948679033cb59261b3": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "f083716ef56c4765ad3b3cb302c54455": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_f6f41c587134477b93badea78ea245d7", "max": 63.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_eb2d9afce5254567a633934333c72bdf", "value": 63.0}}, "f143c377fb334dea942f3be9a641a174": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_13542511c4934fb6b5c2b113f24ecedd", "placeholder": "\u200b", "style": "IPY_MODEL_b612bb6e9e8e4b2b84f2772aaa0aad8c", "value": "Mn-Y: 100%"}}, "f6f41c587134477b93badea78ea245d7": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "f7ccd05799064d029bc0820221fb418b": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_52f8800d52ad47048d0480a88bc90e28", "placeholder": "\u200b", "style": "IPY_MODEL_b52137ccef614800932881fed6276df1", "value": " 2/2 [00:11<00:00, 5.18s/it]"}}, "fb208cf9c2d04072901f03b777729956": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_514558aa4e3d4f9e99324bf5cbcc337e", "placeholder": "\u200b", "style": "IPY_MODEL_e6a41eca74474bed9ef406a8d5bc28f3", "value": "100%"}}, "fe25d74ce606464486ad705c766adf9e": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "ff6482a5fd3948348c536fdb87662e15": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}}, "version_major": 2, "version_minor": 0} | Data by OpenStreetMape": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "a6ead31bd8d6446d88e154e9822c139e": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "a7342659259742d68da38d3e58155f0b": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "a805fb3010c64042884e109d4839dfa7": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_018870e0478f4934b72d7840927d67be", "placeholder": "\u200b", "style": "IPY_MODEL_a56ef51a89514f1baded43b8d0f61781", "value": "C-Cl-Li-Mn: 100%"}}, "ab6c47e32fa3414eacec2122057c4ee5": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_51d31f3df6274ccd90a89a94333ce830", "placeholder": "\u200b", "style": "IPY_MODEL_c7c6e2a214b5497489460629e0c1ae4e", "value": " 3/3 [00:00<00:00, 6.50it/s]"}}, "aceecac17e6746f896db4bda21023182": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b3d004be73fd47c5933d183101127478": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b40a2613eb5d4b93a255744d9870ad95": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "b49c6d1c08654502876abb8cbacb13e0": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b52137ccef614800932881fed6276df1": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "b612bb6e9e8e4b2b84f2772aaa0aad8c": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "ba5e47ec82b14cb39624fdcb1cea333c": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_4af532d2e71042d29fa5357476a5d30d", "IPY_MODEL_f083716ef56c4765ad3b3cb302c54455", "IPY_MODEL_cfb307a7d47f4ea384d2d6255589bb41"], "layout": "IPY_MODEL_5d8428ee70674264bf97355a8424a6a0"}}, "c1eeeaedc8d441379b0e8ed99846e5dd": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "c29b7eaad8b24b55afc1f099d6f861be": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "c4bd31d29ce24daea077096fd10fa342": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "c7c6e2a214b5497489460629e0c1ae4e": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "ca37e94ac55a4e32abaaa61a3f7017ec": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_58425cbc749448d8a817014e863d83be", "placeholder": "\u200b", "style": "IPY_MODEL_3ab9a366034945f1907888a872ea2b6a", "value": "Y: 100%"}}, "cf542ff44eff4041ae9d1c07d1c556c7": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "cfb307a7d47f4ea384d2d6255589bb41": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_b49c6d1c08654502876abb8cbacb13e0", "placeholder": "\u200b", "style": "IPY_MODEL_141847590584424fac3a00311044edf8", "value": " 63/63 [00:06<00:00, 13.87it/s]"}}, "d35c66d02ce64fdeb60424bc0d46a83b": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_8cec4fdbcbf14fbd81cc75f0872cbb56", "placeholder": "\u200b", "style": "IPY_MODEL_604120c197cf4716949fbdfee1e1f359", "value": "Y: 100%"}}, "d4d6129402bc404b8362e3f414f6dbf8": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "d61de198da134553880e0c3add1096ca": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "d73140d5a7ef42219fb44899682652b4": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "dde9eef6021f49c5b768328419c1b967": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "deba10cc58564cd4b066af0a1964c427": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "df4ec876a3b546c5a0e9e5330c627166": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_1a68c640ed6b4a66ac13fa12d8b1ef02", "IPY_MODEL_918321cf3632434ca9429ddcb7fc7b14", "IPY_MODEL_96060299083d48ed923b680a31aec8ba"], "layout": "IPY_MODEL_718c4b8bcdee4777a5668b961cfab9d3"}}, "e0044d5acf594162be2ebe7dc3a533ab": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "e0fbc58c20ed4f8ead9a8d6806148283": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "e1ece9a7ec844b40869b32077f0c229f": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "e3ad624d45334a37ae631a4f27e33594": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_7cccf67d4d6e4916b11f0dc2e9585bfa", "max": 2.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_fe25d74ce606464486ad705c766adf9e", "value": 2.0}}, "e6a41eca74474bed9ef406a8d5bc28f3": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "e9d89a1041fb4d67855a8fcb095a2b2a": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "eb2d9afce5254567a633934333c72bdf": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "eed15db97f744d948679033cb59261b3": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "f083716ef56c4765ad3b3cb302c54455": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_f6f41c587134477b93badea78ea245d7", "max": 63.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_eb2d9afce5254567a633934333c72bdf", "value": 63.0}}, "f143c377fb334dea942f3be9a641a174": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_13542511c4934fb6b5c2b113f24ecedd", "placeholder": "\u200b", "style": "IPY_MODEL_b612bb6e9e8e4b2b84f2772aaa0aad8c", "value": "Mn-Y: 100%"}}, "f6f41c587134477b93badea78ea245d7": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "f7ccd05799064d029bc0820221fb418b": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_52f8800d52ad47048d0480a88bc90e28", "placeholder": "\u200b", "style": "IPY_MODEL_b52137ccef614800932881fed6276df1", "value": " 2/2 [00:11<00:00, 5.18s/it]"}}, "fb208cf9c2d04072901f03b777729956": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_514558aa4e3d4f9e99324bf5cbcc337e", "placeholder": "\u200b", "style": "IPY_MODEL_e6a41eca74474bed9ef406a8d5bc28f3", "value": "100%"}}, "fe25d74ce606464486ad705c766adf9e": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "ff6482a5fd3948348c536fdb87662e15": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}}, "version_major": 2, "version_minor": 0} , under CC BY SAame": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "a6ead31bd8d6446d88e154e9822c139e": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "a7342659259742d68da38d3e58155f0b": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "a805fb3010c64042884e109d4839dfa7": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_018870e0478f4934b72d7840927d67be", "placeholder": "\u200b", "style": "IPY_MODEL_a56ef51a89514f1baded43b8d0f61781", "value": "C-Cl-Li-Mn: 100%"}}, "ab6c47e32fa3414eacec2122057c4ee5": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_51d31f3df6274ccd90a89a94333ce830", "placeholder": "\u200b", "style": "IPY_MODEL_c7c6e2a214b5497489460629e0c1ae4e", "value": " 3/3 [00:00<00:00, 6.50it/s]"}}, "aceecac17e6746f896db4bda21023182": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b3d004be73fd47c5933d183101127478": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b40a2613eb5d4b93a255744d9870ad95": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "b49c6d1c08654502876abb8cbacb13e0": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "b52137ccef614800932881fed6276df1": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "b612bb6e9e8e4b2b84f2772aaa0aad8c": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "ba5e47ec82b14cb39624fdcb1cea333c": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_4af532d2e71042d29fa5357476a5d30d", "IPY_MODEL_f083716ef56c4765ad3b3cb302c54455", "IPY_MODEL_cfb307a7d47f4ea384d2d6255589bb41"], "layout": "IPY_MODEL_5d8428ee70674264bf97355a8424a6a0"}}, "c1eeeaedc8d441379b0e8ed99846e5dd": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "c29b7eaad8b24b55afc1f099d6f861be": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "c4bd31d29ce24daea077096fd10fa342": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "c7c6e2a214b5497489460629e0c1ae4e": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "ca37e94ac55a4e32abaaa61a3f7017ec": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_58425cbc749448d8a817014e863d83be", "placeholder": "\u200b", "style": "IPY_MODEL_3ab9a366034945f1907888a872ea2b6a", "value": "Y: 100%"}}, "cf542ff44eff4041ae9d1c07d1c556c7": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "cfb307a7d47f4ea384d2d6255589bb41": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_b49c6d1c08654502876abb8cbacb13e0", "placeholder": "\u200b", "style": "IPY_MODEL_141847590584424fac3a00311044edf8", "value": " 63/63 [00:06<00:00, 13.87it/s]"}}, "d35c66d02ce64fdeb60424bc0d46a83b": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_8cec4fdbcbf14fbd81cc75f0872cbb56", "placeholder": "\u200b", "style": "IPY_MODEL_604120c197cf4716949fbdfee1e1f359", "value": "Y: 100%"}}, "d4d6129402bc404b8362e3f414f6dbf8": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "d61de198da134553880e0c3add1096ca": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "d73140d5a7ef42219fb44899682652b4": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "dde9eef6021f49c5b768328419c1b967": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "deba10cc58564cd4b066af0a1964c427": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "df4ec876a3b546c5a0e9e5330c627166": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_1a68c640ed6b4a66ac13fa12d8b1ef02", "IPY_MODEL_918321cf3632434ca9429ddcb7fc7b14", "IPY_MODEL_96060299083d48ed923b680a31aec8ba"], "layout": "IPY_MODEL_718c4b8bcdee4777a5668b961cfab9d3"}}, "e0044d5acf594162be2ebe7dc3a533ab": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "e0fbc58c20ed4f8ead9a8d6806148283": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "e1ece9a7ec844b40869b32077f0c229f": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "e3ad624d45334a37ae631a4f27e33594": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_7cccf67d4d6e4916b11f0dc2e9585bfa", "max": 2.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_fe25d74ce606464486ad705c766adf9e", "value": 2.0}}, "e6a41eca74474bed9ef406a8d5bc28f3": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}, "e9d89a1041fb4d67855a8fcb095a2b2a": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "eb2d9afce5254567a633934333c72bdf": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "eed15db97f744d948679033cb59261b3": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "f083716ef56c4765ad3b3cb302c54455": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_f6f41c587134477b93badea78ea245d7", "max": 63.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_eb2d9afce5254567a633934333c72bdf", "value": 63.0}}, "f143c377fb334dea942f3be9a641a174": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_13542511c4934fb6b5c2b113f24ecedd", "placeholder": "\u200b", "style": "IPY_MODEL_b612bb6e9e8e4b2b84f2772aaa0aad8c", "value": "Mn-Y: 100%"}}, "f6f41c587134477b93badea78ea245d7": {"model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "f7ccd05799064d029bc0820221fb418b": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_52f8800d52ad47048d0480a88bc90e28", "placeholder": "\u200b", "style": "IPY_MODEL_b52137ccef614800932881fed6276df1", "value": " 2/2 [00:11<00:00, 5.18s/it]"}}, "fb208cf9c2d04072901f03b777729956": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_514558aa4e3d4f9e99324bf5cbcc337e", "placeholder": "\u200b", "style": "IPY_MODEL_e6a41eca74474bed9ef406a8d5bc28f3", "value": "100%"}}, "fe25d74ce606464486ad705c766adf9e": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": ""}}, "ff6482a5fd3948348c536fdb87662e15": {"model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": {"_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": ""}}}, "version_major": 2, "version_minor": 0} .',tiles:["https://stamen-tiles.a.ssl.fastly.net/watercolor/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-stamen-watercolor",type:"raster",source:"plotly-stamen-watercolor",minzoom:0,maxzoom:22}]}},i=Object.keys(n);e.exports={requiredVersion:"1.10.1",styleUrlPrefix:"mapbox://styles/mapbox/",styleUrlSuffix:"v9",styleValuesMapbox:["basic","streets","outdoors","light","dark","satellite","satellite-streets"],styleValueDflt:"basic",stylesNonMapbox:n,styleValuesNonMapbox:i,traceLayerPrefix:"plotly-trace-layer-",layoutLayerPrefix:"plotly-layout-layer-",wrongVersionErrorMsg:["Your custom plotly.js bundle is not using the correct mapbox-gl version","Please install mapbox-gl@1.10.1."].join("\n"),noAccessTokenErrorMsg:["Missing Mapbox access token.","Mapbox trace type require a Mapbox access token to be registered.","For example:"," Plotly.plot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });","More info here: https://www.mapbox.com/help/define-access-token/"].join("\n"),missingStyleErrorMsg:["No valid mapbox style found, please set `mapbox.style` to one of:",i.join(", "),"or register a Mapbox access token to use a Mapbox-served style."].join("\n"),multipleTokensErrorMsg:["Set multiple mapbox access token across different mapbox subplot,","using first token found as mapbox-gl does not allow multipleaccess tokens on the same page."].join("\n"),mapOnErrorMsg:"Mapbox error.",mapboxLogo:{path0:"m 10.5,1.24 c -5.11,0 -9.25,4.15 -9.25,9.25 0,5.1 4.15,9.25 9.25,9.25 5.1,0 9.25,-4.15 9.25,-9.25 0,-5.11 -4.14,-9.25 -9.25,-9.25 z m 4.39,11.53 c -1.93,1.93 -4.78,2.31 -6.7,2.31 -0.7,0 -1.41,-0.05 -2.1,-0.16 0,0 -1.02,-5.64 2.14,-8.81 0.83,-0.83 1.95,-1.28 3.13,-1.28 1.27,0 2.49,0.51 3.39,1.42 1.84,1.84 1.89,4.75 0.14,6.52 z",path1:"M 10.5,-0.01 C 4.7,-0.01 0,4.7 0,10.49 c 0,5.79 4.7,10.5 10.5,10.5 5.8,0 10.5,-4.7 10.5,-10.5 C 20.99,4.7 16.3,-0.01 10.5,-0.01 Z m 0,19.75 c -5.11,0 -9.25,-4.15 -9.25,-9.25 0,-5.1 4.14,-9.26 9.25,-9.26 5.11,0 9.25,4.15 9.25,9.25 0,5.13 -4.14,9.26 -9.25,9.26 z",path2:"M 14.74,6.25 C 12.9,4.41 9.98,4.35 8.23,6.1 5.07,9.27 6.09,14.91 6.09,14.91 c 0,0 5.64,1.02 8.81,-2.14 C 16.64,11 16.59,8.09 14.74,6.25 Z m -2.27,4.09 -0.91,1.87 -0.9,-1.87 -1.86,-0.91 1.86,-0.9 0.9,-1.87 0.91,1.87 1.86,0.9 z",polygon:"11.56,12.21 10.66,10.34 8.8,9.43 10.66,8.53 11.56,6.66 12.47,8.53 14.33,9.43 12.47,10.34"},styleRules:{map:"overflow:hidden;position:relative;","missing-css":"display:none;",canary:"background-color:salmon;","ctrl-bottom-left":"position: absolute; pointer-events: none; z-index: 2; bottom: 0; left: 0;","ctrl-bottom-right":"position: absolute; pointer-events: none; z-index: 2; right: 0; bottom: 0;",ctrl:"clear: both; pointer-events: auto; transform: translate(0, 0);","ctrl-attrib.mapboxgl-compact .mapboxgl-ctrl-attrib-inner":"display: none;","ctrl-attrib.mapboxgl-compact:hover .mapboxgl-ctrl-attrib-inner":"display: block; margin-top:2px","ctrl-attrib.mapboxgl-compact:hover":"padding: 2px 24px 2px 4px; visibility: visible; margin-top: 6px;","ctrl-attrib.mapboxgl-compact::after":'content: ""; cursor: pointer; position: absolute; background-image: url(\'data:image/svg+xml;charset=utf-8,%3Csvg viewBox="0 0 20 20" xmlns="http://www.w3.org/2000/svg"%3E %3Cpath fill="%23333333" fill-rule="evenodd" d="M4,10a6,6 0 1,0 12,0a6,6 0 1,0 -12,0 M9,7a1,1 0 1,0 2,0a1,1 0 1,0 -2,0 M9,10a1,1 0 1,1 2,0l0,3a1,1 0 1,1 -2,0"/%3E %3C/svg%3E\'); background-color: rgba(255, 255, 255, 0.5); width: 24px; height: 24px; box-sizing: border-box; border-radius: 12px;',"ctrl-attrib.mapboxgl-compact":"min-height: 20px; padding: 0; margin: 10px; position: relative; background-color: #fff; border-radius: 3px 12px 12px 3px;","ctrl-bottom-right > .mapboxgl-ctrl-attrib.mapboxgl-compact::after":"bottom: 0; right: 0","ctrl-bottom-left > .mapboxgl-ctrl-attrib.mapboxgl-compact::after":"bottom: 0; left: 0","ctrl-bottom-left .mapboxgl-ctrl":"margin: 0 0 10px 10px; float: left;","ctrl-bottom-right .mapboxgl-ctrl":"margin: 0 10px 10px 0; float: right;","ctrl-attrib":"color: rgba(0, 0, 0, 0.75); text-decoration: none; font-size: 12px","ctrl-attrib a":"color: rgba(0, 0, 0, 0.75); text-decoration: none; font-size: 12px","ctrl-attrib a:hover":"color: inherit; text-decoration: underline;","ctrl-attrib .mapbox-improve-map":"font-weight: bold; margin-left: 2px;","attrib-empty":"display: none;","ctrl-logo":'display:block; width: 21px; height: 21px; background-image: url(\'data:image/svg+xml;charset=utf-8,%3C?xml version="1.0" encoding="utf-8"?%3E %3Csvg version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px" viewBox="0 0 21 21" style="enable-background:new 0 0 21 21;" xml:space="preserve"%3E%3Cg transform="translate(0,0.01)"%3E%3Cpath d="m 10.5,1.24 c -5.11,0 -9.25,4.15 -9.25,9.25 0,5.1 4.15,9.25 9.25,9.25 5.1,0 9.25,-4.15 9.25,-9.25 0,-5.11 -4.14,-9.25 -9.25,-9.25 z m 4.39,11.53 c -1.93,1.93 -4.78,2.31 -6.7,2.31 -0.7,0 -1.41,-0.05 -2.1,-0.16 0,0 -1.02,-5.64 2.14,-8.81 0.83,-0.83 1.95,-1.28 3.13,-1.28 1.27,0 2.49,0.51 3.39,1.42 1.84,1.84 1.89,4.75 0.14,6.52 z" style="opacity:0.9;fill:%23ffffff;enable-background:new" class="st0"/%3E%3Cpath d="M 10.5,-0.01 C 4.7,-0.01 0,4.7 0,10.49 c 0,5.79 4.7,10.5 10.5,10.5 5.8,0 10.5,-4.7 10.5,-10.5 C 20.99,4.7 16.3,-0.01 10.5,-0.01 Z m 0,19.75 c -5.11,0 -9.25,-4.15 -9.25,-9.25 0,-5.1 4.14,-9.26 9.25,-9.26 5.11,0 9.25,4.15 9.25,9.25 0,5.13 -4.14,9.26 -9.25,9.26 z" style="opacity:0.35;enable-background:new" class="st1"/%3E%3Cpath d="M 14.74,6.25 C 12.9,4.41 9.98,4.35 8.23,6.1 5.07,9.27 6.09,14.91 6.09,14.91 c 0,0 5.64,1.02 8.81,-2.14 C 16.64,11 16.59,8.09 14.74,6.25 Z m -2.27,4.09 -0.91,1.87 -0.9,-1.87 -1.86,-0.91 1.86,-0.9 0.9,-1.87 0.91,1.87 1.86,0.9 z" style="opacity:0.35;enable-background:new" class="st1"/%3E%3Cpolygon points="11.56,12.21 10.66,10.34 8.8,9.43 10.66,8.53 11.56,6.66 12.47,8.53 14.33,9.43 12.47,10.34 " style="opacity:0.9;fill:%23ffffff;enable-background:new" class="st0"/%3E%3C/g%3E%3C/svg%3E\')'}}},{}],884:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e){var r=t.split(" "),i=r[0],a=r[1],o=n.isArrayOrTypedArray(e)?n.mean(e):e,s=.5+o/100,l=1.5+o/100,c=["",""],u=[0,0];switch(i){case"top":c[0]="top",u[1]=-l;break;case"bottom":c[0]="bottom",u[1]=l}switch(a){case"left":c[1]="right",u[0]=-s;break;case"right":c[1]="left",u[0]=s}return{anchor:c[0]&&c[1]?c.join("-"):c[0]?c[0]:c[1]?c[1]:"center",offset:u}}},{"../../lib":778}],885:[function(t,e,r){"use strict";var n=t("mapbox-gl"),i=t("../../lib"),a=i.strTranslate,o=i.strScale,s=t("../../plots/get_data").getSubplotCalcData,l=t("../../constants/xmlns_namespaces"),c=t("d3"),u=t("../../components/drawing"),f=t("../../lib/svg_text_utils"),h=t("./mapbox"),p=r.constants=t("./constants");function d(t){return"string"==typeof t&&(-1!==p.styleValuesMapbox.indexOf(t)||0===t.indexOf("mapbox://"))}r.name="mapbox",r.attr="subplot",r.idRoot="mapbox",r.idRegex=r.attrRegex=i.counterRegex("mapbox"),r.attributes={subplot:{valType:"subplotid",dflt:"mapbox",editType:"calc"}},r.layoutAttributes=t("./layout_attributes"),r.supplyLayoutDefaults=t("./layout_defaults"),r.plot=function(t){var e=t._fullLayout,r=t.calcdata,a=e._subplots.mapbox;if(n.version!==p.requiredVersion)throw new Error(p.wrongVersionErrorMsg);var o=function(t,e){var r=t._fullLayout;if(""===t._context.mapboxAccessToken)return"";for(var n=[],a=[],o=!1,s=!1,l=0;l1&&i.warn(p.multipleTokensErrorMsg),n[0]):(a.length&&i.log(["Listed mapbox access token(s)",a.join(","),"but did not use a Mapbox map style, ignoring token(s)."].join(" ")),"")}(t,a);n.accessToken=o;for(var l=0;l_/2){var w=v.split("|").join("
");x.text(w).attr("data-unformatted",w).call(f.convertToTspans,t),b=u.bBox(x.node())}x.attr("transform",a(-3,8-b.height)),y.insert("rect",".static-attribution").attr({x:-b.width-6,y:-b.height-3,width:b.width+6,height:b.height+3,fill:"rgba(255, 255, 255, 0.75)"});var T=1;b.width+6>_&&(T=_/(b.width+6));var k=[n.l+n.w*h.x[1],n.t+n.h*(1-h.y[0])];y.attr("transform",a(k[0],k[1])+o(T))}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.mapbox,n=0;n0){for(var r=0;r0}function u(t){var e={},r={};switch(t.type){case"circle":n.extendFlat(r,{"circle-radius":t.circle.radius,"circle-color":t.color,"circle-opacity":t.opacity});break;case"line":n.extendFlat(r,{"line-width":t.line.width,"line-color":t.color,"line-opacity":t.opacity,"line-dasharray":t.line.dash});break;case"fill":n.extendFlat(r,{"fill-color":t.color,"fill-outline-color":t.fill.outlinecolor,"fill-opacity":t.opacity});break;case"symbol":var i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{"icon-image":i.icon+"-15","icon-size":i.iconsize/10,"text-field":i.text,"text-size":i.textfont.size,"text-anchor":o.anchor,"text-offset":o.offset,"symbol-placement":i.placement}),n.extendFlat(r,{"icon-color":t.color,"text-color":i.textfont.color,"text-opacity":t.opacity});break;case"raster":n.extendFlat(r,{"raster-fade-duration":0,"raster-opacity":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&"image"===this.sourceType&&"image"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup["layout-"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup["layout-"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapboxLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var e,r=t.sourcetype,n=t.source,a={type:r};"geojson"===r?e="data":"vector"===r?e="string"==typeof n?"url":"tiles":"raster"===r?(e="tiles",a.tileSize=256):"image"===r&&(e="url",a.coordinates=t.coordinates);a[e]=n,t.sourceattribution&&(a.attribution=i(t.sourceattribution));return a}(t);e.addSource(this.idSource,r)}},l.findFollowingMapboxLayerId=function(t){if("traces"===t)for(var e=this.subplot.getMapLayers(),r=0;r<e.length;r++){var n=e[r].id;if("string"==typeof n&&0===n.indexOf(o.traceLayerPrefix)){t=n;break}}return t},l.updateLayer=function(t){var e=this.subplot,r=u(t),n=this.lookupBelow(),i=this.findFollowingMapboxLayerId(n);this.removeLayer(),c(t)&&e.addLayer({id:this.idLayer,source:this.idSource,"source-layer":t.sourcelayer||"",type:t.type,minzoom:t.minzoom,maxzoom:t.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=t.type,this.below=n},l.updateStyle=function(t){if(c(t)){var e=u(t);this.subplot.setOptions(this.idLayer,"setLayoutProperty",e.layout),this.subplot.setOptions(this.idLayer,"setPaintProperty",e.paint)}},l.removeLayer=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer)},l.dispose=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer),t.getSource(this.idSource)&&t.removeSource(this.idSource)},e.exports=function(t,e,r){var n=new s(t,e);return n.update(r),n}},{"../../lib":778,"../../lib/svg_text_utils":803,"./constants":883,"./convert_text_opts":884}],887:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/color").defaultLine,a=t("../domain").attributes,o=t("../font_attributes"),s=t("../../traces/scatter/attributes").textposition,l=t("../../plot_api/edit_types").overrideAll,c=t("../../plot_api/plot_template").templatedArray,u=t("./constants"),f=o({});f.family.dflt="Open Sans Regular, Arial Unicode MS Regular",(e.exports=l({_arrayAttrRegexps:[n.counterRegex("mapbox",".layers",!0)],domain:a({name:"mapbox"}),accesstoken:{valType:"string",noBlank:!0,strict:!0},style:{valType:"any",values:u.styleValuesMapbox.concat(u.styleValuesNonMapbox),dflt:u.styleValueDflt},center:{lon:{valType:"number",dflt:0},lat:{valType:"number",dflt:0}},zoom:{valType:"number",dflt:1},bearing:{valType:"number",dflt:0},pitch:{valType:"number",dflt:0},layers:c("layer",{visible:{valType:"boolean",dflt:!0},sourcetype:{valType:"enumerated",values:["geojson","vector","raster","image"],dflt:"geojson"},source:{valType:"any"},sourcelayer:{valType:"string",dflt:""},sourceattribution:{valType:"string"},type:{valType:"enumerated",values:["circle","line","fill","symbol","raster"],dflt:"circle"},coordinates:{valType:"any"},below:{valType:"string"},color:{valType:"color",dflt:i},opacity:{valType:"number",min:0,max:1,dflt:1},minzoom:{valType:"number",min:0,max:24,dflt:0},maxzoom:{valType:"number",min:0,max:24,dflt:24},circle:{radius:{valType:"number",dflt:15}},line:{width:{valType:"number",dflt:2},dash:{valType:"data_array"}},fill:{outlinecolor:{valType:"color",dflt:i}},symbol:{icon:{valType:"string",dflt:"marker"},iconsize:{valType:"number",dflt:10},text:{valType:"string",dflt:""},placement:{valType:"enumerated",values:["point","line","line-center"],dflt:"point"},textfont:f,textposition:n.extendFlat({},s,{arrayOk:!1})}})},"plot","from-root")).uirevision={valType:"any",editType:"none"}},{"../../components/color":643,"../../lib":778,"../../plot_api/edit_types":810,"../../plot_api/plot_template":817,"../../traces/scatter/attributes":1187,"../domain":855,"../font_attributes":856,"./constants":883}],888:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../subplot_defaults"),a=t("../array_container_defaults"),o=t("./layout_attributes");function s(t,e,r,n){r("accesstoken",n.accessToken),r("style"),r("center.lon"),r("center.lat"),r("zoom"),r("bearing"),r("pitch"),a(t,e,{name:"layers",handleItemDefaults:l}),e._input=t}function l(t,e){function r(r,i){return n.coerce(t,e,o.layers,r,i)}if(r("visible")){var i,a=r("sourcetype"),s="raster"===a||"image"===a;r("source"),r("sourceattribution"),"vector"===a&&r("sourcelayer"),"image"===a&&r("coordinates"),s&&(i="raster");var l=r("type",i);s&&"raster"!==l&&(l=e.type="raster",n.log("Source types *raster* and *image* must drawn *raster* layer type.")),r("below"),r("color"),r("opacity"),r("minzoom"),r("maxzoom"),"circle"===l&&r("circle.radius"),"line"===l&&(r("line.width"),r("line.dash")),"fill"===l&&r("fill.outlinecolor"),"symbol"===l&&(r("symbol.icon"),r("symbol.iconsize"),r("symbol.text"),n.coerceFont(r,"symbol.textfont"),r("symbol.textposition"),r("symbol.placement"))}}e.exports=function(t,e,r){i(t,e,r,{type:"mapbox",attributes:o,handleDefaults:s,partition:"y",accessToken:e._mapboxAccessToken})}},{"../../lib":778,"../array_container_defaults":823,"../subplot_defaults":905,"./layout_attributes":887}],889:[function(t,e,r){"use strict";var n=t("mapbox-gl"),i=t("../../lib"),a=t("../../lib/geo_location_utils"),o=t("../../registry"),s=t("../cartesian/axes"),l=t("../../components/dragelement"),c=t("../../components/fx"),u=t("../../components/dragelement/helpers"),f=u.rectMode,h=u.drawMode,p=u.selectMode,d=t("../cartesian/select").prepSelect,g=t("../cartesian/select").clearSelect,m=t("../cartesian/select").clearSelectionsCache,v=t("../cartesian/select").selectOnClick,y=t("./constants"),x=t("./layers");function b(t,e){this.id=e,this.gd=t;var r=t._fullLayout,n=t._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+"-"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var _=b.prototype;_.plot=function(t,e,r){var n,i=this,a=e[i.id];i.map&&a.accesstoken!==i.accessToken&&(i.map.remove(),i.map=null,i.styleObj=null,i.traceHash={},i.layerList=[]),n=i.map?new Promise((function(r,n){i.updateMap(t,e,r,n)})):new Promise((function(r,n){i.createMap(t,e,r,n)})),r.push(n)},_.createMap=function(t,e,r,i){var o=this,s=e[o.id],l=o.styleObj=T(s.style);o.accessToken=s.accesstoken;var c=o.map=new n.Map({container:o.div,style:l.style,center:M(s.center),zoom:s.zoom,bearing:s.bearing,pitch:s.pitch,interactive:!o.isStatic,preserveDrawingBuffer:o.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new n.AttributionControl({compact:!0}));c._canvas.style.left="0px",c._canvas.style.top="0px",o.rejectOnError(i),o.isStatic||o.initFx(t,e);var u=[];u.push(new Promise((function(t){c.once("load",t)}))),u=u.concat(a.fetchTraceGeoData(t)),Promise.all(u).then((function(){o.fillBelowLookup(t,e),o.updateData(t),o.updateLayout(e),o.resolveOnRender(r)})).catch(i)},_.updateMap=function(t,e,r,n){var i=this,o=i.map,s=e[this.id];i.rejectOnError(n);var l=[],c=T(s.style);JSON.stringify(i.styleObj)!==JSON.stringify(c)&&(i.styleObj=c,o.setStyle(c.style),i.traceHash={},l.push(new Promise((function(t){o.once("styledata",t)})))),l=l.concat(a.fetchTraceGeoData(t)),Promise.all(l).then((function(){i.fillBelowLookup(t,e),i.updateData(t),i.updateLayout(e),i.resolveOnRender(r)})).catch(n)},_.fillBelowLookup=function(t,e){var r,n,i=e[this.id].layers,a=this.belowLookup={},o=!1;for(r=0;r<t.length;r++){var s=t[r][0].trace,l=s._module;"string"==typeof s.below?n=s.below:l.getBelow&&(n=l.getBelow(s,this)),""===n&&(o=!0),a["trace-"+s.uid]=n||""}for(r=0;r<i.length;r++){var c=i[r];n="string"==typeof c.below?c.below:o?"traces":"",a["layout-"+r]=n}var u,f,h={};for(u in a)h[n=a[u]]?h[n].push(u):h[n]=[u];for(n in h){var p=h[n];if(p.length>1)for(r=0;r-1&&v(e.originalEvent,n,[r.xaxis],[r.yaxis],r.id,t),i.indexOf("event")>-1&&c.click(n,e.originalEvent)}}},_.updateFx=function(t){var e=this,r=e.map,n=e.gd;if(!e.isStatic){var a,o=t.dragmode;a=f(o)?function(t,r){(t.range={})[e.id]=[c([r.xmin,r.ymin]),c([r.xmax,r.ymax])]}:function(t,r,n){(t.lassoPoints={})[e.id]=n.filtered.map(c)};var s=e.dragOptions;e.dragOptions=i.extendDeep(s||{},{dragmode:t.dragmode,element:e.div,gd:n,plotinfo:{id:e.id,domain:t[e.id].domain,xaxis:e.xaxis,yaxis:e.yaxis,fillRangeItems:a},xaxes:[e.xaxis],yaxes:[e.yaxis],subplot:e.id}),r.off("click",e.onClickInPanHandler),p(o)||h(o)?(r.dragPan.disable(),r.on("zoomstart",e.clearSelect),e.dragOptions.prepFn=function(t,r,n){d(t,r,n,e.dragOptions,o)},l.init(e.dragOptions)):(r.dragPan.enable(),r.off("zoomstart",e.clearSelect),e.div.onmousedown=null,e.onClickInPanHandler=e.onClickInPanFn(e.dragOptions),r.on("click",e.onClickInPanHandler))}function c(t){var r=e.map.unproject(t);return[r.lng,r.lat]}},_.updateFramework=function(t){var e=t[this.id].domain,r=t._size,n=this.div.style;n.width=r.w*(e.x[1]-e.x[0])+"px",n.height=r.h*(e.y[1]-e.y[0])+"px",n.left=r.l+e.x[0]*r.w+"px",n.top=r.t+(1-e.y[1])*r.h+"px",this.xaxis._offset=r.l+e.x[0]*r.w,this.xaxis._length=r.w*(e.x[1]-e.x[0]),this.yaxis._offset=r.t+(1-e.y[1])*r.h,this.yaxis._length=r.h*(e.y[1]-e.y[0])},_.updateLayers=function(t){var e,r=t[this.id].layers,n=this.layerList;if(r.length!==n.length){for(e=0;e=e.width-20?(a["text-anchor"]="start",a.x=5):(a["text-anchor"]="end",a.x=e._paper.attr("width")-7),r.attr(a);var o=r.select(".js-link-to-tool"),s=r.select(".js-link-spacer"),l=r.select(".js-sourcelinks");t._context.showSources&&t._context.showSources(t),t._context.showLink&&function(t,e){e.text("");var r=e.append("a").attr({"xlink:xlink:href":"#",class:"link--impt link--embedview","font-weight":"bold"}).text(t._context.linkText+" "+String.fromCharCode(187));if(t._context.sendData)r.on("click",(function(){x.sendDataToCloud(t)}));else{var n=window.location.pathname.split("/"),i=window.location.search;r.attr({"xlink:xlink:show":"new","xlink:xlink:href":"/"+n[2].split(".")[0]+"/"+n[1]+i})}}(t,o),s.text(o.text()&&l.text()?" - ":"")}},x.sendDataToCloud=function(t){var e=(window.PLOTLYENV||{}).BASE_URL||t._context.plotlyServerURL;if(e){t.emit("plotly_beforeexport");var r=n.select(t).append("div").attr("id","hiddenform").style("display","none"),i=r.append("form").attr({action:e+"/external",method:"post",target:"_blank"});return i.append("input").attr({type:"text",name:"data"}).node().value=x.graphJson(t,!1,"keepdata"),i.node().submit(),r.remove(),t.emit("plotly_afterexport"),!1}};var w=["days","shortDays","months","shortMonths","periods","dateTime","date","time","decimal","thousands","grouping","currency"],T=["year","month","dayMonth","dayMonthYear"];function k(t,e){var r=t._context.locale;r||(r="en-US");var n=!1,i={};function a(t){for(var r=!0,a=0;a1&&O.length>1){for(o.getComponentMethod("grid","sizeDefaults")(u,l),s=0;s15&&O.length>15&&0===l.shapes.length&&0===l.images.length,l._hasCartesian=l._has("cartesian"),l._hasGeo=l._has("geo"),l._hasGL3D=l._has("gl3d"),l._hasGL2D=l._has("gl2d"),l._hasTernary=l._has("ternary"),l._hasPie=l._has("pie"),x.linkSubplots(h,l,f,a),x.cleanPlot(h,l,f,a);var N=!(!a._has||!a._has("gl2d")),j=!(!l._has||!l._has("gl2d")),U=!(!a._has||!a._has("cartesian"))||N,V=!(!l._has||!l._has("cartesian"))||j;U&&!V?a._bgLayer.remove():V&&!U&&(l._shouldCreateBgLayer=!0),a._zoomlayer&&!t._dragging&&p({_fullLayout:a}),function(t,e){var r,n=[];e.meta&&(r=e._meta={meta:e.meta,layout:{meta:e.meta}});for(var i=0;i0){var f=1-2*s;n=Math.round(f*n),i=Math.round(f*i)}}var h=x.layoutAttributes.width.min,p=x.layoutAttributes.height.min;n1,g=!e.height&&Math.abs(r.height-i)>1;(g||d)&&(d&&(r.width=n),g&&(r.height=i)),t._initialAutoSize||(t._initialAutoSize={width:n,height:i}),x.sanitizeMargins(r)},x.supplyLayoutModuleDefaults=function(t,e,r,n){var i,a,s,l=o.componentsRegistry,u=e._basePlotModules,f=o.subplotsRegistry.cartesian;for(i in l)(s=l[i]).includeBasePlot&&s.includeBasePlot(t,e);for(var h in u.length||u.push(f),e._has("cartesian")&&(o.getComponentMethod("grid","contentDefaults")(t,e),f.finalizeSubplots(t,e)),e._subplots)e._subplots[h].sort(c.subplotSort);for(a=0;a1&&(r.l/=g,r.r/=g)}if(f){var m=(r.t+r.b)/f;m>1&&(r.t/=m,r.b/=m)}var v=void 0!==r.xl?r.xl:r.x,y=void 0!==r.xr?r.xr:r.x,b=void 0!==r.yt?r.yt:r.y,_=void 0!==r.yb?r.yb:r.y;h[e]={l:{val:v,size:r.l+d},r:{val:y,size:r.r+d},b:{val:_,size:r.b+d},t:{val:b,size:r.t+d}},p[e]=1}else delete h[e],delete p[e];if(!n._replotting)return x.doAutoMargin(t)}},x.doAutoMargin=function(t){var e=t._fullLayout,r=e.width,n=e.height;e._size||(e._size={}),C(e);var i=e._size,s=e.margin,l=c.extendFlat({},i),u=s.l,f=s.r,p=s.t,d=s.b,g=e._pushmargin,m=e._pushmarginIds;if(!1!==e.margin.autoexpand){for(var v in g)m[v]||delete g[v];for(var y in g.base={l:{val:0,size:u},r:{val:1,size:f},t:{val:1,size:p},b:{val:0,size:d}},g){var b=g[y].l||{},_=g[y].b||{},w=b.val,T=b.size,k=_.val,M=_.size;for(var A in g){if(a(T)&&g[A].r){var S=g[A].r.val,E=g[A].r.size;if(S>w){var L=(T*S+(E-r)*w)/(S-w),I=(E*(1-w)+(T-r)*(1-S))/(S-w);L+I>u+f&&(u=L,f=I)}}if(a(M)&&g[A].t){var P=g[A].t.val,z=g[A].t.size;if(P>k){var O=(M*P+(z-n)*k)/(P-k),D=(z*(1-k)+(M-n)*(1-P))/(P-k);O+D>d+p&&(d=O,p=D)}}}}}var R=c.constrain(r-s.l-s.r,2,64),F=c.constrain(n-s.t-s.b,2,64),B=Math.max(0,r-R),N=Math.max(0,n-F);if(B){var j=(u+f)/B;j>1&&(u/=j,f/=j)}if(N){var U=(d+p)/N;U>1&&(d/=U,p/=U)}if(i.l=Math.round(u),i.r=Math.round(f),i.t=Math.round(p),i.b=Math.round(d),i.p=Math.round(s.pad),i.w=Math.round(r)-i.l-i.r,i.h=Math.round(n)-i.t-i.b,!e._replotting&&x.didMarginChange(l,i)){"_redrawFromAutoMarginCount"in e?e._redrawFromAutoMarginCount++:e._redrawFromAutoMarginCount=1;var V=3*(1+Object.keys(m).length);if(e._redrawFromAutoMarginCount0&&(t._transitioningWithDuration=!0),t._transitionData._interruptCallbacks.push((function(){n=!0})),r.redraw&&t._transitionData._interruptCallbacks.push((function(){return o.call("redraw",t)})),t._transitionData._interruptCallbacks.push((function(){t.emit("plotly_transitioninterrupted",[])}));var a=0,s=0;function l(){return a++,function(){s++,n||s!==a||function(e){if(!t._transitionData)return;(function(t){if(t)for(;t.length;)t.shift()})(t._transitionData._interruptCallbacks),Promise.resolve().then((function(){if(r.redraw)return o.call("redraw",t)})).then((function(){t._transitioning=!1,t._transitioningWithDuration=!1,t.emit("plotly_transitioned",[])})).then(e)}(i)}}r.runFn(l),setTimeout(l())}))}],a=c.syncOrAsync(i,t);return a&&a.then||(a=Promise.resolve()),a.then((function(){return t}))}x.didMarginChange=function(t,e){for(var r=0;r1)return!0}return!1},x.graphJson=function(t,e,r,n,i,a){(i&&e&&!t._fullData||i&&!e&&!t._fullLayout)&&x.supplyDefaults(t);var o=i?t._fullData:t.data,s=i?t._fullLayout:t.layout,l=(t._transitionData||{})._frames;function u(t,e){if("function"==typeof t)return e?"_function_":null;if(c.isPlainObject(t)){var n,i={};return Object.keys(t).sort().forEach((function(a){if(-1===["_","["].indexOf(a.charAt(0)))if("function"!=typeof t[a]){if("keepdata"===r){if("src"===a.substr(a.length-3))return}else if("keepstream"===r){if("string"==typeof(n=t[a+"src"])&&n.indexOf(":")>0&&!c.isPlainObject(t.stream))return}else if("keepall"!==r&&"string"==typeof(n=t[a+"src"])&&n.indexOf(":")>0)return;i[a]=u(t[a],e)}else e&&(i[a]="_function")})),i}return Array.isArray(t)?t.map((function(t){return u(t,e)})):c.isTypedArray(t)?c.simpleMap(t,c.identity):c.isJSDate(t)?c.ms2DateTimeLocal(+t):t}var f={data:(o||[]).map((function(t){var r=u(t);return e&&delete r.fit,r}))};if(!e&&(f.layout=u(s),i)){var h=s._size;f.layout.computed={margin:{b:h.b,l:h.l,r:h.r,t:h.t}}}return t.framework&&t.framework.isPolar&&(f=t.framework.getConfig()),l&&(f.frames=u(l)),a&&(f.config=u(t._context,!0)),"object"===n?f:JSON.stringify(f)},x.modifyFrames=function(t,e){var r,n,i,a=t._transitionData._frames,o=t._transitionData._frameHash;for(r=0;r=0;a--)if(s[a].enabled){r._indexToPoints=s[a]._indexToPoints;break}n&&n.calc&&(o=n.calc(t,r))}Array.isArray(o)&&o[0]||(o=[{x:f,y:f}]),o[0].t||(o[0].t={}),o[0].trace=r,d[e]=o}}for(z(l,u,p),i=0;i1e-10?t:0}function h(t,e,r){e=e||0,r=r||0;for(var n=t.length,i=new Array(n),a=0;a0?r:1/0})),i=n.mod(r+1,e.length);return[e[r],e[i]]},findIntersectionXY:c,findXYatLength:function(t,e,r,n){var i=-e*r,a=e*e+1,o=2*(e*i-r),s=i*i+r*r-t*t,l=Math.sqrt(o*o-4*a*s),c=(-o+l)/(2*a),u=(-o-l)/(2*a);return[[c,e*c+i+n],[u,e*u+i+n]]},clampTiny:f,pathPolygon:function(t,e,r,n,i,a){return"M"+h(u(t,e,r,n),i,a).join("L")},pathPolygonAnnulus:function(t,e,r,n,i,a,o){var s,l;t=0?h.angularAxis.domain:n.extent(T),E=Math.abs(T[1]-T[0]);M&&!k&&(E=0);var C=S.slice();A&&k&&(C[1]+=E);var L=h.angularAxis.ticksCount||4;L>8&&(L=L/(L/8)+L%8),h.angularAxis.ticksStep&&(L=(C[1]-C[0])/L);var I=h.angularAxis.ticksStep||(C[1]-C[0])/(L*(h.minorTicks+1));w&&(I=Math.max(Math.round(I),1)),C[2]||(C[2]=I);var P=n.range.apply(this,C);if(P=P.map((function(t,e){return parseFloat(t.toPrecision(12))})),s=n.scale.linear().domain(C.slice(0,2)).range("clockwise"===h.direction?[0,360]:[360,0]),u.layout.angularAxis.domain=s.domain(),u.layout.angularAxis.endPadding=A?E:0,"undefined"==typeof(t=n.select(this).select("svg.chart-root"))||t.empty()){var z=(new DOMParser).parseFromString("' + '' + '' + '' + '' + '' + '' + '' + '' + '' + '' + '' + '' + '' + '' + '","application/xml"),O=this.appendChild(this.ownerDocument.importNode(z.documentElement,!0));t=n.select(O)}t.select(".guides-group").style({"pointer-events":"none"}),t.select(".angular.axis-group").style({"pointer-events":"none"}),t.select(".radial.axis-group").style({"pointer-events":"none"});var D,R=t.select(".chart-group"),F={fill:"none",stroke:h.tickColor},B={"font-size":h.font.size,"font-family":h.font.family,fill:h.font.color,"text-shadow":["-1px 0px","1px -1px","-1px 1px","1px 1px"].map((function(t,e){return" "+t+" 0 "+h.font.outlineColor})).join(",")};if(h.showLegend){D=t.select(".legend-group").attr({transform:"translate("+[x,h.margin.top]+")"}).style({display:"block"});var N=p.map((function(t,e){var r=o.util.cloneJson(t);return r.symbol="DotPlot"===t.geometry?t.dotType||"circle":"LinePlot"!=t.geometry?"square":"line",r.visibleInLegend="undefined"==typeof t.visibleInLegend||t.visibleInLegend,r.color="LinePlot"===t.geometry?t.strokeColor:t.color,r}));o.Legend().config({data:p.map((function(t,e){return t.name||"Element"+e})),legendConfig:i({},o.Legend.defaultConfig().legendConfig,{container:D,elements:N,reverseOrder:h.legend.reverseOrder})})();var j=D.node().getBBox();x=Math.min(h.width-j.width-h.margin.left-h.margin.right,h.height-h.margin.top-h.margin.bottom)/2,x=Math.max(10,x),_=[h.margin.left+x,h.margin.top+x],r.range([0,x]),u.layout.radialAxis.domain=r.domain(),D.attr("transform","translate("+[_[0]+x,_[1]-x]+")")}else D=t.select(".legend-group").style({display:"none"});t.attr({width:h.width,height:h.height}).style({opacity:h.opacity}),R.attr("transform","translate("+_+")").style({cursor:"crosshair"});var U=[(h.width-(h.margin.left+h.margin.right+2*x+(j?j.width:0)))/2,(h.height-(h.margin.top+h.margin.bottom+2*x))/2];if(U[0]=Math.max(0,U[0]),U[1]=Math.max(0,U[1]),t.select(".outer-group").attr("transform","translate("+U+")"),h.title&&h.title.text){var V=t.select("g.title-group text").style(B).text(h.title.text),q=V.node().getBBox();V.attr({x:_[0]-q.width/2,y:_[1]-x-20})}var H=t.select(".radial.axis-group");if(h.radialAxis.gridLinesVisible){var G=H.selectAll("circle.grid-circle").data(r.ticks(5));G.enter().append("circle").attr({class:"grid-circle"}).style(F),G.attr("r",r),G.exit().remove()}H.select("circle.outside-circle").attr({r:x}).style(F);var Y=t.select("circle.background-circle").attr({r:x}).style({fill:h.backgroundColor,stroke:h.stroke});function W(t,e){return s(t)%360+h.orientation}if(h.radialAxis.visible){var X=n.svg.axis().scale(r).ticks(5).tickSize(5);H.call(X).attr({transform:"rotate("+h.radialAxis.orientation+")"}),H.selectAll(".domain").style(F),H.selectAll("g>text").text((function(t,e){return this.textContent+h.radialAxis.ticksSuffix})).style(B).style({"text-anchor":"start"}).attr({x:0,y:0,dx:0,dy:0,transform:function(t,e){return"horizontal"===h.radialAxis.tickOrientation?"rotate("+-h.radialAxis.orientation+") translate("+[0,B["font-size"]]+")":"translate("+[0,B["font-size"]]+")"}}),H.selectAll("g>line").style({stroke:"black"})}var Z=t.select(".angular.axis-group").selectAll("g.angular-tick").data(P),J=Z.enter().append("g").classed("angular-tick",!0);Z.attr({transform:function(t,e){return"rotate("+W(t)+")"}}).style({display:h.angularAxis.visible?"block":"none"}),Z.exit().remove(),J.append("line").classed("grid-line",!0).classed("major",(function(t,e){return e%(h.minorTicks+1)==0})).classed("minor",(function(t,e){return!(e%(h.minorTicks+1)==0)})).style(F),J.selectAll(".minor").style({stroke:h.minorTickColor}),Z.select("line.grid-line").attr({x1:h.tickLength?x-h.tickLength:0,x2:x}).style({display:h.angularAxis.gridLinesVisible?"block":"none"}),J.append("text").classed("axis-text",!0).style(B);var K=Z.select("text.axis-text").attr({x:x+h.labelOffset,dy:a+"em",transform:function(t,e){var r=W(t),n=x+h.labelOffset,i=h.angularAxis.tickOrientation;return"horizontal"==i?"rotate("+-r+" "+n+" 0)":"radial"==i?r<270&&r>90?"rotate(180 "+n+" 0)":null:"rotate("+(r<=180&&r>0?-90:90)+" "+n+" 0)"}}).style({"text-anchor":"middle",display:h.angularAxis.labelsVisible?"block":"none"}).text((function(t,e){return e%(h.minorTicks+1)!=0?"":w?w[t]+h.angularAxis.ticksSuffix:t+h.angularAxis.ticksSuffix})).style(B);h.angularAxis.rewriteTicks&&K.text((function(t,e){return e%(h.minorTicks+1)!=0?"":h.angularAxis.rewriteTicks(this.textContent,e)}));var Q=n.max(R.selectAll(".angular-tick text")[0].map((function(t,e){return t.getCTM().e+t.getBBox().width})));D.attr({transform:"translate("+[x+Q,h.margin.top]+")"});var $=t.select("g.geometry-group").selectAll("g").size()>0,tt=t.select("g.geometry-group").selectAll("g.geometry").data(p);if(tt.enter().append("g").attr({class:function(t,e){return"geometry geometry"+e}}),tt.exit().remove(),p[0]||$){var et=[];p.forEach((function(t,e){var n={};n.radialScale=r,n.angularScale=s,n.container=tt.filter((function(t,r){return r==e})),n.geometry=t.geometry,n.orientation=h.orientation,n.direction=h.direction,n.index=e,et.push({data:t,geometryConfig:n})}));var rt=n.nest().key((function(t,e){return"undefined"!=typeof t.data.groupId||"unstacked"})).entries(et),nt=[];rt.forEach((function(t,e){"unstacked"===t.key?nt=nt.concat(t.values.map((function(t,e){return[t]}))):nt.push(t.values)})),nt.forEach((function(t,e){var r;r=Array.isArray(t)?t[0].geometryConfig.geometry:t.geometryConfig.geometry;var n=t.map((function(t,e){return i(o[r].defaultConfig(),t)}));o[r]().config(n)()}))}var it,at,ot=t.select(".guides-group"),st=t.select(".tooltips-group"),lt=o.tooltipPanel().config({container:st,fontSize:8})(),ct=o.tooltipPanel().config({container:st,fontSize:8})(),ut=o.tooltipPanel().config({container:st,hasTick:!0})();if(!k){var ft=ot.select("line").attr({x1:0,y1:0,y2:0}).style({stroke:"grey","pointer-events":"none"});R.on("mousemove.angular-guide",(function(t,e){var r=o.util.getMousePos(Y).angle;ft.attr({x2:-x,transform:"rotate("+r+")"}).style({opacity:.5});var n=(r+180+360-h.orientation)%360;it=s.invert(n);var i=o.util.convertToCartesian(x+12,r+180);lt.text(o.util.round(it)).move([i[0]+_[0],i[1]+_[1]])})).on("mouseout.angular-guide",(function(t,e){ot.select("line").style({opacity:0})}))}var ht=ot.select("circle").style({stroke:"grey",fill:"none"});R.on("mousemove.radial-guide",(function(t,e){var n=o.util.getMousePos(Y).radius;ht.attr({r:n}).style({opacity:.5}),at=r.invert(o.util.getMousePos(Y).radius);var i=o.util.convertToCartesian(n,h.radialAxis.orientation);ct.text(o.util.round(at)).move([i[0]+_[0],i[1]+_[1]])})).on("mouseout.radial-guide",(function(t,e){ht.style({opacity:0}),ut.hide(),lt.hide(),ct.hide()})),t.selectAll(".geometry-group .mark").on("mouseover.tooltip",(function(e,r){var i=n.select(this),a=this.style.fill,s="black",l=this.style.opacity||1;if(i.attr({"data-opacity":l}),a&&"none"!==a){i.attr({"data-fill":a}),s=n.hsl(a).darker().toString(),i.style({fill:s,opacity:1});var c={t:o.util.round(e[0]),r:o.util.round(e[1])};k&&(c.t=w[e[0]]);var u="t: "+c.t+", r: "+c.r,f=this.getBoundingClientRect(),h=t.node().getBoundingClientRect(),p=[f.left+f.width/2-U[0]-h.left,f.top+f.height/2-U[1]-h.top];ut.config({color:s}).text(u),ut.move(p)}else a=this.style.stroke||"black",i.attr({"data-stroke":a}),s=n.hsl(a).darker().toString(),i.style({stroke:s,opacity:1})})).on("mousemove.tooltip",(function(t,e){if(0!=n.event.which)return!1;n.select(this).attr("data-fill")&&ut.show()})).on("mouseout.tooltip",(function(t,e){ut.hide();var r=n.select(this),i=r.attr("data-fill");i?r.style({fill:i,opacity:r.attr("data-opacity")}):r.style({stroke:r.attr("data-stroke"),opacity:r.attr("data-opacity")})}))}))}(c),this},h.config=function(t){if(!arguments.length)return l;var e=o.util.cloneJson(t);return e.data.forEach((function(t,e){l.data[e]||(l.data[e]={}),i(l.data[e],o.Axis.defaultConfig().data[0]),i(l.data[e],t)})),i(l.layout,o.Axis.defaultConfig().layout),i(l.layout,e.layout),this},h.getLiveConfig=function(){return u},h.getinputConfig=function(){return c},h.radialScale=function(t){return r},h.angularScale=function(t){return s},h.svg=function(){return t},n.rebind(h,f,"on"),h},o.Axis.defaultConfig=function(t,e){return{data:[{t:[1,2,3,4],r:[10,11,12,13],name:"Line1",geometry:"LinePlot",color:null,strokeDash:"solid",strokeColor:null,strokeSize:"1",visibleInLegend:!0,opacity:1}],layout:{defaultColorRange:n.scale.category10().range(),title:null,height:450,width:500,margin:{top:40,right:40,bottom:40,left:40},font:{size:12,color:"gray",outlineColor:"white",family:"Tahoma, sans-serif"},direction:"clockwise",orientation:0,labelOffset:10,radialAxis:{domain:null,orientation:-45,ticksSuffix:"",visible:!0,gridLinesVisible:!0,tickOrientation:"horizontal",rewriteTicks:null},angularAxis:{domain:[0,360],ticksSuffix:"",visible:!0,gridLinesVisible:!0,labelsVisible:!0,tickOrientation:"horizontal",rewriteTicks:null,ticksCount:null,ticksStep:null},minorTicks:0,tickLength:null,tickColor:"silver",minorTickColor:"#eee",backgroundColor:"none",needsEndSpacing:null,showLegend:!0,legend:{reverseOrder:!1},opacity:1}}},o.util={},o.DATAEXTENT="dataExtent",o.AREA="AreaChart",o.LINE="LinePlot",o.DOT="DotPlot",o.BAR="BarChart",o.util._override=function(t,e){for(var r in t)r in e&&(e[r]=t[r])},o.util._extend=function(t,e){for(var r in t)e[r]=t[r]},o.util._rndSnd=function(){return 2*Math.random()-1+(2*Math.random()-1)+(2*Math.random()-1)},o.util.dataFromEquation2=function(t,e){var r=e||6;return n.range(0,360+r,r).map((function(e,r){var n=e*Math.PI/180;return[e,t(n)]}))},o.util.dataFromEquation=function(t,e,r){var i=e||6,a=[],o=[];n.range(0,360+i,i).forEach((function(e,r){var n=e*Math.PI/180,i=t(n);a.push(e),o.push(i)}));var s={t:a,r:o};return r&&(s.name=r),s},o.util.ensureArray=function(t,e){if("undefined"==typeof t)return null;var r=[].concat(t);return n.range(e).map((function(t,e){return r[e]||r[0]}))},o.util.fillArrays=function(t,e,r){return e.forEach((function(e,n){t[e]=o.util.ensureArray(t[e],r)})),t},o.util.cloneJson=function(t){return JSON.parse(JSON.stringify(t))},o.util.validateKeys=function(t,e){"string"==typeof e&&(e=e.split("."));var r=e.shift();return t[r]&&(!e.length||objHasKeys(t[r],e))},o.util.sumArrays=function(t,e){return n.zip(t,e).map((function(t,e){return n.sum(t)}))},o.util.arrayLast=function(t){return t[t.length-1]},o.util.arrayEqual=function(t,e){for(var r=Math.max(t.length,e.length,1);r-- >=0&&t[r]===e[r];);return-2===r},o.util.flattenArray=function(t){for(var e=[];!o.util.arrayEqual(e,t);)e=t,t=[].concat.apply([],t);return t},o.util.deduplicate=function(t){return t.filter((function(t,e,r){return r.indexOf(t)==e}))},o.util.convertToCartesian=function(t,e){var r=e*Math.PI/180;return[t*Math.cos(r),t*Math.sin(r)]},o.util.round=function(t,e){var r=e||2,n=Math.pow(10,r);return Math.round(t*n)/n},o.util.getMousePos=function(t){var e=n.mouse(t.node()),r=e[0],i=e[1],a={};return a.x=r,a.y=i,a.pos=e,a.angle=180*(Math.atan2(i,r)+Math.PI)/Math.PI,a.radius=Math.sqrt(r*r+i*i),a},o.util.duplicatesCount=function(t){for(var e,r={},n={},i=0,a=t.length;i0)){var l=n.select(this.parentNode).selectAll("path.line").data([0]);l.enter().insert("path"),l.attr({class:"line",d:u(s),transform:function(t,r){return"rotate("+(e.orientation+90)+")"},"pointer-events":"none"}).style({fill:function(t,e){return d.fill(r,i,a)},"fill-opacity":0,stroke:function(t,e){return d.stroke(r,i,a)},"stroke-width":function(t,e){return d["stroke-width"](r,i,a)},"stroke-dasharray":function(t,e){return d["stroke-dasharray"](r,i,a)},opacity:function(t,e){return d.opacity(r,i,a)},display:function(t,e){return d.display(r,i,a)}})}};var f=e.angularScale.range(),h=Math.abs(f[1]-f[0])/o[0].length*Math.PI/180,p=n.svg.arc().startAngle((function(t){return-h/2})).endAngle((function(t){return h/2})).innerRadius((function(t){return e.radialScale(l+(t[2]||0))})).outerRadius((function(t){return e.radialScale(l+(t[2]||0))+e.radialScale(t[1])}));c.arc=function(t,r,i){n.select(this).attr({class:"mark arc",d:p,transform:function(t,r){return"rotate("+(e.orientation+s(t[0])+90)+")"}})};var d={fill:function(e,r,n){return t[n].data.color},stroke:function(e,r,n){return t[n].data.strokeColor},"stroke-width":function(e,r,n){return t[n].data.strokeSize+"px"},"stroke-dasharray":function(e,n,i){return r[t[i].data.strokeDash]},opacity:function(e,r,n){return t[n].data.opacity},display:function(e,r,n){return"undefined"==typeof t[n].data.visible||t[n].data.visible?"block":"none"}},g=n.select(this).selectAll("g.layer").data(o);g.enter().append("g").attr({class:"layer"});var m=g.selectAll("path.mark").data((function(t,e){return t}));m.enter().append("path").attr({class:"mark"}),m.style(d).each(c[e.geometryType]),m.exit().remove(),g.exit().remove()}))}return a.config=function(e){return arguments.length?(e.forEach((function(e,r){t[r]||(t[r]={}),i(t[r],o.PolyChart.defaultConfig()),i(t[r],e)})),this):t},a.getColorScale=function(){},n.rebind(a,e,"on"),a},o.PolyChart.defaultConfig=function(){return{data:{name:"geom1",t:[[1,2,3,4]],r:[[1,2,3,4]],dotType:"circle",dotSize:64,dotVisible:!1,barWidth:20,color:"#ffa500",strokeSize:1,strokeColor:"silver",strokeDash:"solid",opacity:1,index:0,visible:!0,visibleInLegend:!0},geometryConfig:{geometry:"LinePlot",geometryType:"arc",direction:"clockwise",orientation:0,container:"body",radialScale:null,angularScale:null,colorScale:n.scale.category20()}}},o.BarChart=function(){return o.PolyChart()},o.BarChart.defaultConfig=function(){return{geometryConfig:{geometryType:"bar"}}},o.AreaChart=function(){return o.PolyChart()},o.AreaChart.defaultConfig=function(){return{geometryConfig:{geometryType:"arc"}}},o.DotPlot=function(){return o.PolyChart()},o.DotPlot.defaultConfig=function(){return{geometryConfig:{geometryType:"dot",dotType:"circle"}}},o.LinePlot=function(){return o.PolyChart()},o.LinePlot.defaultConfig=function(){return{geometryConfig:{geometryType:"line"}}},o.Legend=function(){var t=o.Legend.defaultConfig(),e=n.dispatch("hover");function r(){var e=t.legendConfig,a=t.data.map((function(t,r){return[].concat(t).map((function(t,n){var a=i({},e.elements[r]);return a.name=t,a.color=[].concat(e.elements[r].color)[n],a}))})),o=n.merge(a);o=o.filter((function(t,r){return e.elements[r]&&(e.elements[r].visibleInLegend||"undefined"==typeof e.elements[r].visibleInLegend)})),e.reverseOrder&&(o=o.reverse());var s=e.container;("string"==typeof s||s.nodeName)&&(s=n.select(s));var l=o.map((function(t,e){return t.color})),c=e.fontSize,u=null==e.isContinuous?"number"==typeof o[0]:e.isContinuous,f=u?e.height:c*o.length,h=s.classed("legend-group",!0).selectAll("svg").data([0]),p=h.enter().append("svg").attr({width:300,height:f+c,xmlns:"http://www.w3.org/2000/svg","xmlns:xlink":"http://www.w3.org/1999/xlink",version:"1.1"});p.append("g").classed("legend-axis",!0),p.append("g").classed("legend-marks",!0);var d=n.range(o.length),g=n.scale[u?"linear":"ordinal"]().domain(d).range(l),m=n.scale[u?"linear":"ordinal"]().domain(d)[u?"range":"rangePoints"]([0,f]);if(u){var v=h.select(".legend-marks").append("defs").append("linearGradient").attr({id:"grad1",x1:"0%",y1:"0%",x2:"0%",y2:"100%"}).selectAll("stop").data(l);v.enter().append("stop"),v.attr({offset:function(t,e){return e/(l.length-1)*100+"%"}}).style({"stop-color":function(t,e){return t}}),h.append("rect").classed("legend-mark",!0).attr({height:e.height,width:e.colorBandWidth,fill:"url(#grad1)"})}else{var y=h.select(".legend-marks").selectAll("path.legend-mark").data(o);y.enter().append("path").classed("legend-mark",!0),y.attr({transform:function(t,e){return"translate("+[c/2,m(e)+c/2]+")"},d:function(t,e){var r,i,a,o=t.symbol;return a=3*(i=c),"line"===(r=o)?"M"+[[-i/2,-i/12],[i/2,-i/12],[i/2,i/12],[-i/2,i/12]]+"Z":-1!=n.svg.symbolTypes.indexOf(r)?n.svg.symbol().type(r).size(a)():n.svg.symbol().type("square").size(a)()},fill:function(t,e){return g(e)}}),y.exit().remove()}var x=n.svg.axis().scale(m).orient("right"),b=h.select("g.legend-axis").attr({transform:"translate("+[u?e.colorBandWidth:c,c/2]+")"}).call(x);return b.selectAll(".domain").style({fill:"none",stroke:"none"}),b.selectAll("line").style({fill:"none",stroke:u?e.textColor:"none"}),b.selectAll("text").style({fill:e.textColor,"font-size":e.fontSize}).text((function(t,e){return o[e].name})),r}return r.config=function(e){return arguments.length?(i(t,e),this):t},n.rebind(r,e,"on"),r},o.Legend.defaultConfig=function(t,e){return{data:["a","b","c"],legendConfig:{elements:[{symbol:"line",color:"red"},{symbol:"square",color:"yellow"},{symbol:"diamond",color:"limegreen"}],height:150,colorBandWidth:30,fontSize:12,container:"body",isContinuous:null,textColor:"grey",reverseOrder:!1}}},o.tooltipPanel=function(){var t,e,r,a={container:null,hasTick:!1,fontSize:12,color:"white",padding:5},s="tooltip-"+o.tooltipPanel.uid++,l=10,c=function(){var n=(t=a.container.selectAll("g."+s).data([0])).enter().append("g").classed(s,!0).style({"pointer-events":"none",display:"none"});return r=n.append("path").style({fill:"white","fill-opacity":.9}).attr({d:"M0 0"}),e=n.append("text").attr({dx:a.padding+l,dy:.3*+a.fontSize}),c};return c.text=function(i){var o=n.hsl(a.color).l,s=o>=.5?"#aaa":"white",u=o>=.5?"black":"white",f=i||"";e.style({fill:u,"font-size":a.fontSize+"px"}).text(f);var h=a.padding,p=e.node().getBBox(),d={fill:a.color,stroke:s,"stroke-width":"2px"},g=p.width+2*h+l,m=p.height+2*h;return r.attr({d:"M"+[[l,-m/2],[l,-m/4],[a.hasTick?0:l,0],[l,m/4],[l,m/2],[g,m/2],[g,-m/2]].join("L")+"Z"}).style(d),t.attr({transform:"translate("+[l,-m/2+2*h]+")"}),t.style({display:"block"}),c},c.move=function(e){if(t)return t.attr({transform:"translate("+[e[0],e[1]]+")"}).style({display:"block"}),c},c.hide=function(){if(t)return t.style({display:"none"}),c},c.show=function(){if(t)return t.style({display:"block"}),c},c.config=function(t){return i(a,t),c},c},o.tooltipPanel.uid=1,o.adapter={},o.adapter.plotly=function(){var t={convert:function(t,e){var r={};if(t.data&&(r.data=t.data.map((function(t,r){var n=i({},t);return[[n,["marker","color"],["color"]],[n,["marker","opacity"],["opacity"]],[n,["marker","line","color"],["strokeColor"]],[n,["marker","line","dash"],["strokeDash"]],[n,["marker","line","width"],["strokeSize"]],[n,["marker","symbol"],["dotType"]],[n,["marker","size"],["dotSize"]],[n,["marker","barWidth"],["barWidth"]],[n,["line","interpolation"],["lineInterpolation"]],[n,["showlegend"],["visibleInLegend"]]].forEach((function(t,r){o.util.translator.apply(null,t.concat(e))})),e||delete n.marker,e&&delete n.groupId,e?("LinePlot"===n.geometry?(n.type="scatter",!0===n.dotVisible?(delete n.dotVisible,n.mode="lines+markers"):n.mode="lines"):"DotPlot"===n.geometry?(n.type="scatter",n.mode="markers"):"AreaChart"===n.geometry?n.type="area":"BarChart"===n.geometry&&(n.type="bar"),delete n.geometry):("scatter"===n.type?"lines"===n.mode?n.geometry="LinePlot":"markers"===n.mode?n.geometry="DotPlot":"lines+markers"===n.mode&&(n.geometry="LinePlot",n.dotVisible=!0):"area"===n.type?n.geometry="AreaChart":"bar"===n.type&&(n.geometry="BarChart"),delete n.mode,delete n.type),n})),!e&&t.layout&&"stack"===t.layout.barmode)){var a=o.util.duplicates(r.data.map((function(t,e){return t.geometry})));r.data.forEach((function(t,e){var n=a.indexOf(t.geometry);-1!=n&&(r.data[e].groupId=n)}))}if(t.layout){var s=i({},t.layout);if([[s,["plot_bgcolor"],["backgroundColor"]],[s,["showlegend"],["showLegend"]],[s,["radialaxis"],["radialAxis"]],[s,["angularaxis"],["angularAxis"]],[s.angularaxis,["showline"],["gridLinesVisible"]],[s.angularaxis,["showticklabels"],["labelsVisible"]],[s.angularaxis,["nticks"],["ticksCount"]],[s.angularaxis,["tickorientation"],["tickOrientation"]],[s.angularaxis,["ticksuffix"],["ticksSuffix"]],[s.angularaxis,["range"],["domain"]],[s.angularaxis,["endpadding"],["endPadding"]],[s.radialaxis,["showline"],["gridLinesVisible"]],[s.radialaxis,["tickorientation"],["tickOrientation"]],[s.radialaxis,["ticksuffix"],["ticksSuffix"]],[s.radialaxis,["range"],["domain"]],[s.angularAxis,["showline"],["gridLinesVisible"]],[s.angularAxis,["showticklabels"],["labelsVisible"]],[s.angularAxis,["nticks"],["ticksCount"]],[s.angularAxis,["tickorientation"],["tickOrientation"]],[s.angularAxis,["ticksuffix"],["ticksSuffix"]],[s.angularAxis,["range"],["domain"]],[s.angularAxis,["endpadding"],["endPadding"]],[s.radialAxis,["showline"],["gridLinesVisible"]],[s.radialAxis,["tickorientation"],["tickOrientation"]],[s.radialAxis,["ticksuffix"],["ticksSuffix"]],[s.radialAxis,["range"],["domain"]],[s.font,["outlinecolor"],["outlineColor"]],[s.legend,["traceorder"],["reverseOrder"]],[s,["labeloffset"],["labelOffset"]],[s,["defaultcolorrange"],["defaultColorRange"]]].forEach((function(t,r){o.util.translator.apply(null,t.concat(e))})),e?("undefined"!=typeof s.tickLength&&(s.angularaxis.ticklen=s.tickLength,delete s.tickLength),s.tickColor&&(s.angularaxis.tickcolor=s.tickColor,delete s.tickColor)):(s.angularAxis&&"undefined"!=typeof s.angularAxis.ticklen&&(s.tickLength=s.angularAxis.ticklen),s.angularAxis&&"undefined"!=typeof s.angularAxis.tickcolor&&(s.tickColor=s.angularAxis.tickcolor)),s.legend&&"boolean"!=typeof s.legend.reverseOrder&&(s.legend.reverseOrder="normal"!=s.legend.reverseOrder),s.legend&&"boolean"==typeof s.legend.traceorder&&(s.legend.traceorder=s.legend.traceorder?"reversed":"normal",delete s.legend.reverseOrder),s.margin&&"undefined"!=typeof s.margin.t){var l=["t","r","b","l","pad"],c=["top","right","bottom","left","pad"],u={};n.entries(s.margin).forEach((function(t,e){u[c[l.indexOf(t.key)]]=t.value})),s.margin=u}e&&(delete s.needsEndSpacing,delete s.minorTickColor,delete s.minorTicks,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksStep,delete s.angularaxis.rewriteTicks,delete s.angularaxis.nticks,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksStep,delete s.radialaxis.rewriteTicks,delete s.radialaxis.nticks),r.layout=s}return r}};return t}},{"../../../constants/alignment":745,"../../../lib":778,d3:169}],901:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../../lib"),a=t("../../../components/color"),o=t("./micropolar"),s=t("./undo_manager"),l=i.extendDeepAll,c=e.exports={};c.framework=function(t){var e,r,i,a,u,f=new s;function h(r,s){return s&&(u=s),n.select(n.select(u).node().parentNode).selectAll(".svg-container>*:not(.chart-root)").remove(),e=e?l(e,r):r,i||(i=o.Axis()),a=o.adapter.plotly().convert(e),i.config(a).render(u),t.data=e.data,t.layout=e.layout,c.fillLayout(t),e}return h.isPolar=!0,h.svg=function(){return i.svg()},h.getConfig=function(){return e},h.getLiveConfig=function(){return o.adapter.plotly().convert(i.getLiveConfig(),!0)},h.getLiveScales=function(){return{t:i.angularScale(),r:i.radialScale()}},h.setUndoPoint=function(){var t,n,i=this,a=o.util.cloneJson(e);t=a,n=r,f.add({undo:function(){n&&i(n)},redo:function(){i(t)}}),r=o.util.cloneJson(a)},h.undo=function(){f.undo()},h.redo=function(){f.redo()},h},c.fillLayout=function(t){var e=n.select(t).selectAll(".plot-container"),r=e.selectAll(".svg-container"),i=t.framework&&t.framework.svg&&t.framework.svg(),o={width:800,height:600,paper_bgcolor:a.background,_container:e,_paperdiv:r,_paper:i};t._fullLayout=l(o,t.layout)}},{"../../../components/color":643,"../../../lib":778,"./micropolar":900,"./undo_manager":902,d3:169}],902:[function(t,e,r){"use strict";e.exports=function(){var t,e=[],r=-1,n=!1;function i(t,e){return t?(n=!0,t[e](),n=!1,this):this}return{add:function(t){return n||(e.splice(r+1,e.length-r),e.push(t),r=e.length-1),this},setCallback:function(e){t=e},undo:function(){var n=e[r];return n?(i(n,"undo"),r-=1,t&&t(n.undo),this):this},redo:function(){var n=e[r+1];return n?(i(n,"redo"),r+=1,t&&t(n.redo),this):this},clear:function(){e=[],r=-1},hasUndo:function(){return-1!==r},hasRedo:function(){return r=90||s>90&&l>=450?1:u<=0&&h<=0?0:Math.max(u,h);e=s<=180&&l>=180||s>180&&l>=540?-1:c>=0&&f>=0?0:Math.min(c,f);r=s<=270&&l>=270||s>270&&l>=630?-1:u>=0&&h>=0?0:Math.min(u,h);n=l>=360?1:c<=0&&f<=0?0:Math.max(c,f);return[e,r,n,i]}(p),b=x[2]-x[0],_=x[3]-x[1],w=h/f,T=Math.abs(_/b);w>T?(d=f,y=(h-(g=f*T))/n.h/2,m=[o[0],o[1]],v=[s[0]+y,s[1]-y]):(g=h,y=(f-(d=h/T))/n.w/2,m=[o[0]+y,o[1]-y],v=[s[0],s[1]]),this.xLength2=d,this.yLength2=g,this.xDomain2=m,this.yDomain2=v;var k=this.xOffset2=n.l+n.w*m[0],M=this.yOffset2=n.t+n.h*(1-v[1]),A=this.radius=d/b,S=this.innerRadius=e.hole*A,E=this.cx=k-A*x[0],C=this.cy=M+A*x[3],P=this.cxx=E-k,z=this.cyy=C-M;this.radialAxis=this.mockAxis(t,e,i,{_id:"x",side:{counterclockwise:"top",clockwise:"bottom"}[i.side],_realSide:i.side,domain:[S/n.w,A/n.w]}),this.angularAxis=this.mockAxis(t,e,a,{side:"right",domain:[0,Math.PI],autorange:!1}),this.doAutoRange(t,e),this.updateAngularAxis(t,e),this.updateRadialAxis(t,e),this.updateRadialAxisTitle(t,e),this.xaxis=this.mockCartesianAxis(t,e,{_id:"x",domain:m}),this.yaxis=this.mockCartesianAxis(t,e,{_id:"y",domain:v});var O=this.pathSubplot();this.clipPaths.forTraces.select("path").attr("d",O).attr("transform",l(P,z)),r.frontplot.attr("transform",l(k,M)).call(u.setClipUrl,this._hasClipOnAxisFalse?null:this.clipIds.forTraces,this.gd),r.bg.attr("d",O).attr("transform",l(E,C)).call(c.fill,e.bgcolor)},O.mockAxis=function(t,e,r,n){var i=o.extendFlat({},r,n);return d(i,e,t),i},O.mockCartesianAxis=function(t,e,r){var n=this,i=r._id,a=o.extendFlat({type:"linear"},r);p(a,t);var s={x:[0,2],y:[1,3]};return a.setRange=function(){var t=n.sectorBBox,r=s[i],o=n.radialAxis._rl,l=(o[1]-o[0])/(1-e.hole);a.range=[t[r[0]]*l,t[r[1]]*l]},a.isPtWithinRange="x"===i?function(t){return n.isPtInside(t)}:function(){return!0},a.setRange(),a.setScale(),a},O.doAutoRange=function(t,e){var r=this.gd,n=this.radialAxis,i=e.radialaxis;n.setScale(),g(r,n);var a=n.range;i.range=a.slice(),i._input.range=a.slice(),n._rl=[n.r2l(a[0],null,"gregorian"),n.r2l(a[1],null,"gregorian")]},O.updateRadialAxis=function(t,e){var r=this,n=r.gd,i=r.layers,a=r.radius,u=r.innerRadius,f=r.cx,p=r.cy,d=e.radialaxis,g=L(e.sector[0],360),m=r.radialAxis,v=u90&&g<=270&&(m.tickangle=180);var y=function(t){return l(m.l2p(t.x)+u,0)},x=D(d);if(r.radialTickLayout!==x&&(i["radial-axis"].selectAll(".xtick").remove(),r.radialTickLayout=x),v){m.setScale();var b=h.calcTicks(m),_=h.clipEnds(m,b),w=h.getTickSigns(m)[2];h.drawTicks(n,m,{vals:b,layer:i["radial-axis"],path:h.makeTickPath(m,0,w),transFn:y,crisp:!1}),h.drawGrid(n,m,{vals:_,layer:i["radial-grid"],path:function(t){return r.pathArc(m.r2p(t.x)+u)},transFn:o.noop,crisp:!1}),h.drawLabels(n,m,{vals:b,layer:i["radial-axis"],transFn:y,labelFns:h.makeLabelFns(m,0)})}var T=r.radialAxisAngle=r.vangles?P(R(I(d.angle),r.vangles)):d.angle,k=l(f,p),M=k+s(-T);F(i["radial-axis"],v&&(d.showticklabels||d.ticks),{transform:M}),F(i["radial-grid"],v&&d.showgrid,{transform:k}),F(i["radial-line"].select("line"),v&&d.showline,{x1:u,y1:0,x2:a,y2:0,transform:M}).attr("stroke-width",d.linewidth).call(c.stroke,d.linecolor)},O.updateRadialAxisTitle=function(t,e,r){var n=this.gd,i=this.radius,a=this.cx,o=this.cy,s=e.radialaxis,l=this.id+"title",c=void 0!==r?r:this.radialAxisAngle,f=I(c),h=Math.cos(f),p=Math.sin(f),d=0;if(s.title){var g=u.bBox(this.layers["radial-axis"].node()).height,m=s.title.font.size;d="counterclockwise"===s.side?-g-.4*m:g+.8*m}this.layers["radial-axis-title"]=x.draw(n,l,{propContainer:s,propName:this.id+".radialaxis.title",placeholder:C(n,"Click to enter radial axis title"),attributes:{x:a+i/2*h+d*p,y:o-i/2*p+d*h,"text-anchor":"middle"},transform:{rotate:-c}})},O.updateAngularAxis=function(t,e){var r=this,n=r.gd,i=r.layers,a=r.radius,u=r.innerRadius,f=r.cx,p=r.cy,d=e.angularaxis,g=r.angularAxis;r.fillViewInitialKey("angularaxis.rotation",d.rotation),g.setGeometry(),g.setScale();var m=function(t){return g.t2g(t.x)};"linear"===g.type&&"radians"===g.thetaunit&&(g.tick0=P(g.tick0),g.dtick=P(g.dtick));var v=function(t){return l(f+a*Math.cos(t),p-a*Math.sin(t))},y=h.makeLabelFns(g,0).labelStandoff,x={xFn:function(t){var e=m(t);return Math.cos(e)*y},yFn:function(t){var e=m(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(y+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*A)},anchorFn:function(t){var e=m(t),r=Math.cos(e);return Math.abs(r)<.1?"middle":r>0?"start":"end"},heightFn:function(t,e,r){var n=m(t);return-.5*(1+Math.sin(n))*r}},b=D(d);r.angularTickLayout!==b&&(i["angular-axis"].selectAll("."+g._id+"tick").remove(),r.angularTickLayout=b);var _,w=h.calcTicks(g);if("linear"===e.gridshape?(_=w.map(m),o.angleDelta(_[0],_[1])<0&&(_=_.slice().reverse())):_=null,r.vangles=_,"category"===g.type&&(w=w.filter((function(t){return o.isAngleInsideSector(m(t),r.sectorInRad)}))),g.visible){var T="inside"===g.ticks?-1:1,k=(g.linewidth||1)/2;h.drawTicks(n,g,{vals:w,layer:i["angular-axis"],path:"M"+T*k+",0h"+T*g.ticklen,transFn:function(t){var e=m(t);return v(e)+s(-P(e))},crisp:!1}),h.drawGrid(n,g,{vals:w,layer:i["angular-grid"],path:function(t){var e=m(t),r=Math.cos(e),n=Math.sin(e);return"M"+[f+u*r,p-u*n]+"L"+[f+a*r,p-a*n]},transFn:o.noop,crisp:!1}),h.drawLabels(n,g,{vals:w,layer:i["angular-axis"],repositionOnUpdate:!0,transFn:function(t){return v(m(t))},labelFns:x})}F(i["angular-line"].select("path"),d.showline,{d:r.pathSubplot(),transform:l(f,p)}).attr("stroke-width",d.linewidth).call(c.stroke,d.linecolor)},O.updateFx=function(t,e){this.gd._context.staticPlot||(this.updateAngularDrag(t),this.updateRadialDrag(t,e,0),this.updateRadialDrag(t,e,1),this.updateMainDrag(t))},O.updateMainDrag=function(t){var e,r,s=this,c=s.gd,u=s.layers,f=t._zoomlayer,h=S.MINZOOM,p=S.OFFEDGE,d=s.radius,g=s.innerRadius,x=s.cx,T=s.cy,k=s.cxx,M=s.cyy,A=s.sectorInRad,C=s.vangles,L=s.radialAxis,I=E.clampTiny,P=E.findXYatLength,z=E.findEnclosingVertexAngles,O=S.cornerHalfWidth,D=S.cornerLen/2,R=m.makeDragger(u,"path","maindrag","crosshair");n.select(R).attr("d",s.pathSubplot()).attr("transform",l(x,T));var F,B,N,j,U,V,q,H,G,Y={element:R,gd:c,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function W(t,e){return Math.sqrt(t*t+e*e)}function X(t,e){return W(t-k,e-M)}function Z(t,e){return Math.atan2(M-e,t-k)}function J(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function K(t,e){if(0===t)return s.pathSector(2*O);var r=D/t,n=e-r,i=e+r,a=Math.max(0,Math.min(t,d)),o=a-O,l=a+O;return"M"+J(o,n)+"A"+[o,o]+" 0,0,0 "+J(o,i)+"L"+J(l,i)+"A"+[l,l]+" 0,0,1 "+J(l,n)+"Z"}function Q(t,e,r){if(0===t)return s.pathSector(2*O);var n,i,a=J(t,e),o=J(t,r),l=I((a[0]+o[0])/2),c=I((a[1]+o[1])/2);if(l&&c){var u=c/l,f=-1/u,h=P(O,u,l,c);n=P(D,f,h[0][0],h[0][1]),i=P(D,f,h[1][0],h[1][1])}else{var p,d;c?(p=D,d=O):(p=O,d=D),n=[[l-p,c-d],[l+p,c-d]],i=[[l-p,c+d],[l+p,c+d]]}return"M"+n.join("L")+"L"+i.reverse().join("L")+"Z"}function $(t,e){return e=Math.max(Math.min(e,d),g),th?(t-1&&1===t&&_(e,c,[s.xaxis],[s.yaxis],s.id,Y),r.indexOf("event")>-1&&y.click(c,e,s.id)}Y.prepFn=function(t,n,a){var l=c._fullLayout.dragmode,u=R.getBoundingClientRect();c._fullLayout._calcInverseTransform(c);var h=c._fullLayout._invTransform;e=c._fullLayout._invScaleX,r=c._fullLayout._invScaleY;var p=o.apply3DTransform(h)(n-u.left,a-u.top);if(F=p[0],B=p[1],C){var g=E.findPolygonOffset(d,A[0],A[1],C);F+=k+g[0],B+=M+g[1]}switch(l){case"zoom":Y.moveFn=C?nt:et,Y.clickFn=ot,Y.doneFn=it,function(){N=null,j=null,U=s.pathSubplot(),V=!1;var t=c._fullLayout[s.id];q=i(t.bgcolor).getLuminance(),(H=m.makeZoombox(f,q,x,T,U)).attr("fill-rule","evenodd"),G=m.makeCorners(f,x,T),w(c)}();break;case"select":case"lasso":b(t,n,a,Y,l)}},R.onmousemove=function(t){y.hover(c,t,s.id),c._fullLayout._lasthover=R,c._fullLayout._hoversubplot=s.id},R.onmouseout=function(t){c._dragging||v.unhover(c,t)},v.init(Y)},O.updateRadialDrag=function(t,e,r){var i=this,c=i.gd,u=i.layers,f=i.radius,h=i.innerRadius,p=i.cx,d=i.cy,g=i.radialAxis,y=S.radialDragBoxSize,x=y/2;if(g.visible){var b,_,T,A=I(i.radialAxisAngle),E=g._rl,C=E[0],L=E[1],z=E[r],O=.75*(E[1]-E[0])/(1-e.hole)/f;r?(b=p+(f+x)*Math.cos(A),_=d-(f+x)*Math.sin(A),T="radialdrag"):(b=p+(h-x)*Math.cos(A),_=d-(h-x)*Math.sin(A),T="radialdrag-inner");var D,B,N,j=m.makeRectDragger(u,T,"crosshair",-x,-x,y,y),U={element:j,gd:c};F(n.select(j),g.visible&&h0==(r?N>C:Nn?function(t){return t<=0}:function(t){return t>=0};t.c2g=function(r){var n=t.c2l(r)-e;return(s(n)?n:0)+o},t.g2c=function(r){return t.l2c(r+e-o)},t.g2p=function(t){return t*a},t.c2p=function(e){return t.g2p(t.c2g(e))}}}(t,e);break;case"angularaxis":!function(t,e){var r=t.type;if("linear"===r){var i=t.d2c,s=t.c2d;t.d2c=function(t,e){return function(t,e){return"degrees"===e?a(t):t}(i(t),e)},t.c2d=function(t,e){return s(function(t,e){return"degrees"===e?o(t):t}(t,e))}}t.makeCalcdata=function(e,i){var a,o,s=e[i],l=e._length,c=function(r){return t.d2c(r,e.thetaunit)};if(s){if(n.isTypedArray(s)&&"linear"===r){if(l===s.length)return s;if(s.subarray)return s.subarray(0,l)}for(a=new Array(l),o=0;o0){for(var n=[],i=0;i<r.length;i++)n[i]="`"+r[i]+"`";e+="Finally, the template string has access to ",e=1===r.length?"variable "+n[0]:"variables "+n.slice(0,-1).join(", ")+" and "+n.slice(-1)+"."}return e}r.hovertemplateAttrs=function(t,e){t=t||{};n(e=e||{});var r={valType:"string",dflt:"",editType:t.editType||"none"};return!1!==t.arrayOk&&(r.arrayOk=!0),r},r.texttemplateAttrs=function(t,e){t=t||{};n(e=e||{});var r={valType:"string",dflt:"",editType:t.editType||"calc"};return!1!==t.arrayOk&&(r.arrayOk=!0),r}},{"../constants/docs":748}],907:[function(t,e,r){"use strict";var n=t("./ternary"),i=t("../../plots/get_data").getSubplotCalcData,a=t("../../lib").counterRegex;r.name="ternary";var o=r.attr="subplot";r.idRoot="ternary",r.idRegex=r.attrRegex=a("ternary"),(r.attributes={})[o]={valType:"subplotid",dflt:"ternary",editType:"calc"},r.layoutAttributes=t("./layout_attributes"),r.supplyLayoutDefaults=t("./layout_defaults"),r.plot=function(t){for(var e=t._fullLayout,r=t.calcdata,a=e._subplots.ternary,o=0;o=u&&(p.min=0,g.min=0,m.min=0,t.aaxis&&delete t.aaxis.min,t.baxis&&delete t.baxis.min,t.caxis&&delete t.caxis.min)}function d(t,e,r,n){var i=f[e._name];function o(r,n){return a.coerce(t,e,i,r,n)}o("uirevision",n.uirevision),e.type="linear";var h=o("color"),p=h!==i.color.dflt?h:r.font.color,d=e._name.charAt(0).toUpperCase(),g="Component "+d,m=o("title.text",g);e._hovertitle=m===g?m:d,a.coerceFont(o,"title.font",{family:r.font.family,size:Math.round(1.2*r.font.size),color:p}),o("min"),c(t,e,o,"linear"),s(t,e,o,"linear",{}),l(t,e,o,{outerTicks:!0}),o("showticklabels")&&(a.coerceFont(o,"tickfont",{family:r.font.family,size:r.font.size,color:p}),o("tickangle"),o("tickformat")),u(t,e,o,{dfltColor:h,bgColor:r.bgColor,blend:60,showLine:!0,showGrid:!0,noZeroLine:!0,attributes:i}),o("hoverformat"),o("layer")}e.exports=function(t,e,r){o(t,e,r,{type:"ternary",attributes:f,handleDefaults:p,font:e.font,paper_bgcolor:e.paper_bgcolor})}},{"../../components/color":643,"../../lib":778,"../../plot_api/plot_template":817,"../cartesian/line_grid_defaults":844,"../cartesian/tick_label_defaults":849,"../cartesian/tick_mark_defaults":850,"../cartesian/tick_value_defaults":851,"../subplot_defaults":905,"./layout_attributes":908}],910:[function(t,e,r){"use strict";var n=t("d3"),i=t("tinycolor2"),a=t("../../registry"),o=t("../../lib"),s=o.strTranslate,l=o._,c=t("../../components/color"),u=t("../../components/drawing"),f=t("../cartesian/set_convert"),h=t("../../lib/extend").extendFlat,p=t("../plots"),d=t("../cartesian/axes"),g=t("../../components/dragelement"),m=t("../../components/fx"),v=t("../../components/dragelement/helpers"),y=v.freeMode,x=v.rectMode,b=t("../../components/titles"),_=t("../cartesian/select").prepSelect,w=t("../cartesian/select").selectOnClick,T=t("../cartesian/select").clearSelect,k=t("../cartesian/select").clearSelectionsCache,M=t("../cartesian/constants");function A(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}e.exports=A;var S=A.prototype;S.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},S.plot=function(t,e){var r=e[this.id],n=e._size;this._hasClipOnAxisFalse=!1;for(var i=0;iE*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*g-i/2,n=e.t+e.h*(1-m)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:"linear",range:[w+2*k-_,_-w-2*T],domain:[g-o/2,g+o/2],_id:"x"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:"linear",range:[w,_-T-k],domain:[m-l/2,m+l/2],_id:"y"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var M=p.yaxis.domain[0],A=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:"left",tickangle:(+t.aaxis.tickangle||0)-30,domain:[M,M+l*E],anchor:"free",position:0,_id:"y",_length:i});f(A,p.graphDiv._fullLayout),A.setScale();var S=p.baxis=h({},t.baxis,{range:[_-w-k,T],side:"bottom",domain:p.xaxis.domain,anchor:"free",position:0,_id:"x",_length:i});f(S,p.graphDiv._fullLayout),S.setScale();var C=p.caxis=h({},t.caxis,{range:[_-w-T,k],side:"right",tickangle:(+t.caxis.tickangle||0)+30,domain:[M,M+l*E],anchor:"free",position:0,_id:"y",_length:i});f(C,p.graphDiv._fullLayout),C.setScale();var L="M"+r+","+(n+a)+"h"+i+"l-"+i/2+",-"+a+"Z";p.clipDef.select("path").attr("d",L),p.layers.plotbg.select("path").attr("d",L);var I="M0,"+a+"h"+i+"l-"+i/2+",-"+a+"Z";p.clipDefRelative.select("path").attr("d",I);var P=s(r,n);p.plotContainer.selectAll(".scatterlayer,.maplayer").attr("transform",P),p.clipDefRelative.select("path").attr("transform",null);var z=s(r-S._offset,n+a);p.layers.baxis.attr("transform",z),p.layers.bgrid.attr("transform",z);var O=s(r+i/2,n)+"rotate(30)"+s(0,-A._offset);p.layers.aaxis.attr("transform",O),p.layers.agrid.attr("transform",O);var D=s(r+i/2,n)+"rotate(-30)"+s(0,-C._offset);p.layers.caxis.attr("transform",D),p.layers.cgrid.attr("transform",D),p.drawAxes(!0),p.layers.aline.select("path").attr("d",A.showline?"M"+r+","+(n+a)+"l"+i/2+",-"+a:"M0,0").call(c.stroke,A.linecolor||"#000").style("stroke-width",(A.linewidth||0)+"px"),p.layers.bline.select("path").attr("d",S.showline?"M"+r+","+(n+a)+"h"+i:"M0,0").call(c.stroke,S.linecolor||"#000").style("stroke-width",(S.linewidth||0)+"px"),p.layers.cline.select("path").attr("d",C.showline?"M"+(r+i/2)+","+n+"l"+i/2+","+a:"M0,0").call(c.stroke,C.linecolor||"#000").style("stroke-width",(C.linewidth||0)+"px"),p.graphDiv._context.staticPlot||p.initInteractions(),u.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var e=this.graphDiv,r=this.id.substr(7)+"title",n=this.layers,i=this.aaxis,a=this.baxis,o=this.caxis;if(this.drawAx(i),this.drawAx(a),this.drawAx(o),t){var s=Math.max(i.showticklabels?i.tickfont.size/2:0,(o.showticklabels?.75*o.tickfont.size:0)+("outside"===o.ticks?.87*o.ticklen:0)),c=(a.showticklabels?a.tickfont.size:0)+("outside"===a.ticks?a.ticklen:0)+3;n["a-title"]=b.draw(e,"a"+r,{propContainer:i,propName:this.id+".aaxis.title",placeholder:l(e,"Click to enter Component A title"),attributes:{x:this.x0+this.w/2,y:this.y0-i.title.font.size/3-s,"text-anchor":"middle"}}),n["b-title"]=b.draw(e,"b"+r,{propContainer:a,propName:this.id+".baxis.title",placeholder:l(e,"Click to enter Component B title"),attributes:{x:this.x0-c,y:this.y0+this.h+.83*a.title.font.size+c,"text-anchor":"middle"}}),n["c-title"]=b.draw(e,"c"+r,{propContainer:o,propName:this.id+".caxis.title",placeholder:l(e,"Click to enter Component C title"),attributes:{x:this.x0+this.w+c,y:this.y0+this.h+.83*o.title.font.size+c,"text-anchor":"middle"}})}},S.drawAx=function(t){var e,r=this.graphDiv,n=t._name,i=n.charAt(0),a=t._id,s=this.layers[n],l=i+"tickLayout",c=(e=t).ticks+String(e.ticklen)+String(e.showticklabels);this[l]!==c&&(s.selectAll("."+a+"tick").remove(),this[l]=c),t.setScale();var u=d.calcTicks(t),f=d.clipEnds(t,u),h=d.makeTransTickFn(t),p=d.getTickSigns(t)[2],g=o.deg2rad(30),m=p*(t.linewidth||1)/2,v=p*t.ticklen,y=this.w,x=this.h,b="b"===i?"M0,"+m+"l"+Math.sin(g)*v+","+Math.cos(g)*v:"M"+m+",0l"+Math.cos(g)*v+","+-Math.sin(g)*v,_={a:"M0,0l"+x+",-"+y/2,b:"M0,0l-"+y/2+",-"+x,c:"M0,0l-"+x+","+y/2}[i];d.drawTicks(r,t,{vals:"inside"===t.ticks?f:u,layer:s,path:b,transFn:h,crisp:!1}),d.drawGrid(r,t,{vals:f,layer:this.layers[i+"grid"],path:_,transFn:h,crisp:!1}),d.drawLabels(r,t,{vals:u,layer:s,transFn:h,labelFns:d.makeLabelFns(t,0,30)})};var C=M.MINZOOM/2+.87,L="m-0.87,.5h"+C+"v3h-"+(C+5.2)+"l"+(C/2+2.6)+",-"+(.87*C+4.5)+"l2.6,1.5l-"+C/2+","+.87*C+"Z",I="m0.87,.5h-"+C+"v3h"+(C+5.2)+"l-"+(C/2+2.6)+",-"+(.87*C+4.5)+"l-2.6,1.5l"+C/2+","+.87*C+"Z",P="m0,1l"+C/2+","+.87*C+"l2.6,-1.5l-"+(C/2+2.6)+",-"+(.87*C+4.5)+"l-"+(C/2+2.6)+","+(.87*C+4.5)+"l2.6,1.5l"+C/2+",-"+.87*C+"Z",z=!0;function O(t){n.select(t).selectAll(".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners").remove()}S.clearSelect=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,f,h,p,d,v,b,T,k,A=this,S=A.layers.plotbg.select("path").node(),C=A.graphDiv,D=C._fullLayout._zoomlayer;function R(t){var e={};return e[A.id+".aaxis.min"]=t.a,e[A.id+".baxis.min"]=t.b,e[A.id+".caxis.min"]=t.c,e}function F(t,e){var r=C._fullLayout.clickmode;O(C),2===t&&(C.emit("plotly_doubleclick",null),a.call("_guiRelayout",C,R({a:0,b:0,c:0}))),r.indexOf("select")>-1&&1===t&&w(e,C,[A.xaxis],[A.yaxis],A.id,A.dragOptions),r.indexOf("event")>-1&&m.click(C,e,A.id)}function B(t,e){return 1-e/A.h}function N(t,e){return 1-(t+(A.h-e)/Math.sqrt(3))/A.w}function j(t,e){return(t-(A.h-e)/Math.sqrt(3))/A.w}function U(i,a){var o=r+i*t,s=n+a*e,l=Math.max(0,Math.min(1,B(0,n),B(0,s))),c=Math.max(0,Math.min(1,N(r,n),N(o,s))),u=Math.max(0,Math.min(1,j(r,n),j(o,s))),g=(l/2+u)*A.w,m=(1-l/2-c)*A.w,y=(g+m)/2,x=m-g,_=(1-l)*A.h,w=_-x/E;x.2?"rgba(0,0,0,0.4)":"rgba(255,255,255,0.3)").duration(200),k.transition().style("opacity",1).duration(200),b=!0),C.emit("plotly_relayouting",R(p))}function V(){O(C),p!==f&&(a.call("_guiRelayout",C,R(p)),z&&C.data&&C._context.showTips&&(o.notifier(l(C,"Double-click to zoom back out"),"long"),z=!1))}function q(t,e){var r=t/A.xaxis._m,n=e/A.yaxis._m,i=[(p={a:f.a-n,b:f.b+(r+n)/2,c:f.c-(r-n)/2}).a,p.b,p.c].sort(o.sorterAsc),a=i.indexOf(p.a),l=i.indexOf(p.b),c=i.indexOf(p.c);i[0]<0&&(i[1]+i[0]/2<0?(i[2]+=i[0]+i[1],i[0]=i[1]=0):(i[2]+=i[0]/2,i[1]+=i[0]/2,i[0]=0),p={a:i[a],b:i[l],c:i[c]},e=(f.a-p.a)*A.yaxis._m,t=(f.c-p.c-f.b+p.b)*A.xaxis._m);var h=s(A.x0+t,A.y0+e);A.plotContainer.selectAll(".scatterlayer,.maplayer").attr("transform",h);var d=s(-t,-e);A.clipDefRelative.select("path").attr("transform",d),A.aaxis.range=[p.a,A.sum-p.b-p.c],A.baxis.range=[A.sum-p.a-p.c,p.b],A.caxis.range=[A.sum-p.a-p.b,p.c],A.drawAxes(!1),A._hasClipOnAxisFalse&&A.plotContainer.select(".scatterlayer").selectAll(".trace").call(u.hideOutsideRangePoints,A),C.emit("plotly_relayouting",R(p))}function H(){a.call("_guiRelayout",C,R(p))}this.dragOptions={element:S,gd:C,plotinfo:{id:A.id,domain:C._fullLayout[A.id].domain,xaxis:A.xaxis,yaxis:A.yaxis},subplot:A.id,prepFn:function(a,l,u){A.dragOptions.xaxes=[A.xaxis],A.dragOptions.yaxes=[A.yaxis],t=C._fullLayout._invScaleX,e=C._fullLayout._invScaleY;var g=A.dragOptions.dragmode=C._fullLayout.dragmode;y(g)?A.dragOptions.minDrag=1:A.dragOptions.minDrag=void 0,"zoom"===g?(A.dragOptions.moveFn=U,A.dragOptions.clickFn=F,A.dragOptions.doneFn=V,function(t,e,a){var l=S.getBoundingClientRect();r=e-l.left,n=a-l.top,C._fullLayout._calcInverseTransform(C);var u=C._fullLayout._invTransform,g=o.apply3DTransform(u)(r,n);r=g[0],n=g[1],f={a:A.aaxis.range[0],b:A.baxis.range[1],c:A.caxis.range[1]},p=f,h=A.aaxis.range[1]-f.a,d=i(A.graphDiv._fullLayout[A.id].bgcolor).getLuminance(),v="M0,"+A.h+"L"+A.w/2+", 0L"+A.w+","+A.h+"Z",b=!1,T=D.append("path").attr("class","zoombox").attr("transform",s(A.x0,A.y0)).style({fill:d>.2?"rgba(0,0,0,0)":"rgba(255,255,255,0)","stroke-width":0}).attr("d",v),k=D.append("path").attr("class","zoombox-corners").attr("transform",s(A.x0,A.y0)).style({fill:c.background,stroke:c.defaultLine,"stroke-width":1,opacity:0}).attr("d","M0,0Z"),A.clearSelect(C)}(0,l,u)):"pan"===g?(A.dragOptions.moveFn=q,A.dragOptions.clickFn=F,A.dragOptions.doneFn=H,f={a:A.aaxis.range[0],b:A.baxis.range[1],c:A.caxis.range[1]},p=f,A.clearSelect(C)):(x(g)||y(g))&&_(a,l,u,A.dragOptions,g)}},S.onmousemove=function(t){m.hover(C,t,A.id),C._fullLayout._lasthover=S,C._fullLayout._hoversubplot=A.id},S.onmouseout=function(t){C._dragging||g.unhover(C,t)},g.init(this.dragOptions)}},{"../../components/color":643,"../../components/dragelement":662,"../../components/dragelement/helpers":661,"../../components/drawing":665,"../../components/fx":683,"../../components/titles":738,"../../lib":778,"../../lib/extend":768,"../../registry":911,"../cartesian/axes":828,"../cartesian/constants":834,"../cartesian/select":847,"../cartesian/set_convert":848,"../plots":891,d3:169,tinycolor2:576}],911:[function(t,e,r){"use strict";var n=t("./lib/loggers"),i=t("./lib/noop"),a=t("./lib/push_unique"),o=t("./lib/is_plain_object"),s=t("./lib/dom").addStyleRule,l=t("./lib/extend"),c=t("./plots/attributes"),u=t("./plots/layout_attributes"),f=l.extendFlat,h=l.extendDeepAll;function p(t){var e=t.name,i=t.categories,a=t.meta;if(r.modules[e])n.log("Type "+e+" already registered");else{r.subplotsRegistry[t.basePlotModule.name]||function(t){var e=t.name;if(r.subplotsRegistry[e])return void n.log("Plot type "+e+" already registered.");for(var i in v(t),r.subplotsRegistry[e]=t,r.componentsRegistry)b(i,t.name)}(t.basePlotModule);for(var o={},l=0;l-1&&(f[p[r]].title={text:""});for(r=0;r")?"":e.html(t).text()}));return e.remove(),r}(T),T=(T=T.replace(/&(?!\w+;|\#[0-9]+;| \#x[0-9A-F]+;)/g,"&")).replace(c,"'"),i.isIE()&&(T=(T=(T=T.replace(/"/gi,"'")).replace(/(\('#)([^']*)('\))/gi,'("#$2")')).replace(/(\\')/gi,'"')),T}},{"../components/color":643,"../components/drawing":665,"../constants/xmlns_namespaces":754,"../lib":778,d3:169}],920:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e){for(var r=0;rf+c||!n(u))}for(var p=0;pa))return e}return void 0!==r?r:t.dflt},r.coerceColor=function(t,e,r){return i(e).isValid()?e:void 0!==r?r:t.dflt},r.coerceEnumerated=function(t,e,r){return t.coerceNumber&&(e=+e),-1!==t.values.indexOf(e)?e:void 0!==r?r:t.dflt},r.getValue=function(t,e){var r;return Array.isArray(t)?e0?i+=a:e<0&&(i-=a)}return n.inbox(r-e,i-e,b+(i-e)/(i-r)-1)}"h"===m.orientation?(a=r,s=e,u="y",f="x",h=S,p=A):(a=e,s=r,u="x",f="y",p=S,h=A);var E=t[u+"a"],C=t[f+"a"];d=Math.abs(E.r2c(E.range[1])-E.r2c(E.range[0]));var L=n.getDistanceFunction(i,h,p,(function(t){return(h(t)+p(t))/2}));if(n.getClosest(g,L,t),!1!==t.index&&g[t.index].p!==c){y||(T=function(t){return Math.min(_(t),t.p-v.bargroupwidth/2)},k=function(t){return Math.max(w(t),t.p+v.bargroupwidth/2)});var I=g[t.index],P=m.base?I.b+I.s:I.s;t[f+"0"]=t[f+"1"]=C.c2p(I[f],!0),t[f+"LabelVal"]=P;var z=v.extents[v.extents.round(I.p)];t[u+"0"]=E.c2p(y?T(I):z[0],!0),t[u+"1"]=E.c2p(y?k(I):z[1],!0);var O=void 0!==I.orig_p;return t[u+"LabelVal"]=O?I.orig_p:I.p,t.labelLabel=l(E,t[u+"LabelVal"]),t.valueLabel=l(C,t[f+"LabelVal"]),t.baseLabel=l(C,I.b),t.spikeDistance=(S(I)+function(t){return M(_(t),w(t))}(I))/2-b,t[u+"Spike"]=E.c2p(I.p,!0),o(I,m,t),t.hovertemplate=m.hovertemplate,t}}function f(t,e){var r=e.mcc||t.marker.color,n=e.mlcc||t.marker.line.color,i=s(t,e);return a.opacity(r)?r:a.opacity(n)&&i?n:void 0}e.exports={hoverPoints:function(t,e,r,n){var a=u(t,e,r,n);if(a){var o=a.cd,s=o[0].trace,l=o[a.index];return a.color=f(s,l),i.getComponentMethod("errorbars","hoverInfo")(l,s,a),[a]}},hoverOnBars:u,getTraceColor:f}},{"../../components/color":643,"../../components/fx":683,"../../constants/numerical":753,"../../lib":778,"../../plots/cartesian/axes":828,"../../registry":911,"./helpers":927}],929:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),layoutAttributes:t("./layout_attributes"),supplyDefaults:t("./defaults").supplyDefaults,crossTraceDefaults:t("./defaults").crossTraceDefaults,supplyLayoutDefaults:t("./layout_defaults"),calc:t("./calc"),crossTraceCalc:t("./cross_trace_calc").crossTraceCalc,colorbar:t("../scatter/marker_colorbar"),arraysToCalcdata:t("./arrays_to_calcdata"),plot:t("./plot").plot,style:t("./style").style,styleOnSelect:t("./style").styleOnSelect,hoverPoints:t("./hover").hoverPoints,eventData:t("./event_data"),selectPoints:t("./select"),moduleType:"trace",name:"bar",basePlotModule:t("../../plots/cartesian"),categories:["bar-like","cartesian","svg","bar","oriented","errorBarsOK","showLegend","zoomScale"],animatable:!0,meta:{}}},{"../../plots/cartesian":841,"../scatter/marker_colorbar":1205,"./arrays_to_calcdata":920,"./attributes":921,"./calc":922,"./cross_trace_calc":924,"./defaults":925,"./event_data":926,"./hover":928,"./layout_attributes":930,"./layout_defaults":931,"./plot":932,"./select":933,"./style":935}],930:[function(t,e,r){"use strict";e.exports={barmode:{valType:"enumerated",values:["stack","group","overlay","relative"],dflt:"group",editType:"calc"},barnorm:{valType:"enumerated",values:["","fraction","percent"],dflt:"",editType:"calc"},bargap:{valType:"number",min:0,max:1,editType:"calc"},bargroupgap:{valType:"number",min:0,max:1,dflt:0,editType:"calc"}}},{}],931:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../plots/cartesian/axes"),a=t("../../lib"),o=t("./layout_attributes");e.exports=function(t,e,r){function s(r,n){return a.coerce(t,e,o,r,n)}for(var l=!1,c=!1,u=!1,f={},h=s("barmode"),p=0;p0}function S(t){return"auto"===t?0:t}function E(t,e){var r=Math.PI/180*e,n=Math.abs(Math.sin(r)),i=Math.abs(Math.cos(r));return{x:t.width*i+t.height*n,y:t.width*n+t.height*i}}function C(t,e,r,n,i,a){var o=!!a.isHorizontal,s=!!a.constrained,l=a.angle||0,c=a.anchor||"end",u="end"===c,f="start"===c,h=((a.leftToRight||0)+1)/2,p=1-h,d=i.width,g=i.height,m=Math.abs(e-t),v=Math.abs(n-r),y=m>2*_&&v>2*_?_:0;m-=2*y,v-=2*y;var x=S(l);"auto"!==l||d<=m&&g<=v||!(d>m||g>v)||(d>v||g>m)&&d.01?H:function(t,e,r){return r&&t===e?t:Math.abs(t-e)>=2?H(t):t>e?Math.ceil(t):Math.floor(t)};B=G(B,N,D),N=G(N,B,D),j=G(j,U,!D),U=G(U,j,!D)}var Y=M(a.ensureSingle(P,"path"),I,m,v);if(Y.style("vector-effect","non-scaling-stroke").attr("d",isNaN((N-B)*(U-j))||V&&t._context.staticPlot?"M0,0Z":"M"+B+","+j+"V"+U+"H"+N+"V"+j+"Z").call(l.setClipUrl,e.layerClipId,t),!I.uniformtext.mode&&R){var W=l.makePointStyleFns(f);l.singlePointStyle(c,Y,f,W,t)}!function(t,e,r,n,i,s,c,f,p,m,v){var w,T=e.xaxis,A=e.yaxis,L=t._fullLayout;function I(e,r,n){return a.ensureSingle(e,"text").text(r).attr({class:"bartext bartext-"+w,"text-anchor":"middle","data-notex":1}).call(l.font,n).call(o.convertToTspans,t)}var P=n[0].trace,z="h"===P.orientation,O=function(t,e,r,n,i){var o,s=e[0].trace;o=s.texttemplate?function(t,e,r,n,i){var o=e[0].trace,s=a.castOption(o,r,"texttemplate");if(!s)return"";var l,c,f,h,p="waterfall"===o.type,d="funnel"===o.type;"h"===o.orientation?(l="y",c=i,f="x",h=n):(l="x",c=n,f="y",h=i);function g(t){return u(h,+t,!0).text}var m=e[r],v={};v.label=m.p,v.labelLabel=v[l+"Label"]=(y=m.p,u(c,y,!0).text);var y;var x=a.castOption(o,m.i,"text");(0===x||x)&&(v.text=x);v.value=m.s,v.valueLabel=v[f+"Label"]=g(m.s);var _={};b(_,o,m.i),p&&(v.delta=+m.rawS||m.s,v.deltaLabel=g(v.delta),v.final=m.v,v.finalLabel=g(v.final),v.initial=v.final-v.delta,v.initialLabel=g(v.initial));d&&(v.value=m.s,v.valueLabel=g(v.value),v.percentInitial=m.begR,v.percentInitialLabel=a.formatPercent(m.begR),v.percentPrevious=m.difR,v.percentPreviousLabel=a.formatPercent(m.difR),v.percentTotal=m.sumR,v.percenTotalLabel=a.formatPercent(m.sumR));var w=a.castOption(o,m.i,"customdata");w&&(v.customdata=w);return a.texttemplateString(s,v,t._d3locale,_,v,o._meta||{})}(t,e,r,n,i):s.textinfo?function(t,e,r,n){var i=t[0].trace,o="h"===i.orientation,s="waterfall"===i.type,l="funnel"===i.type;function c(t){return u(o?r:n,+t,!0).text}var f,h=i.textinfo,p=t[e],d=h.split("+"),g=[],m=function(t){return-1!==d.indexOf(t)};m("label")&&g.push((v=t[e].p,u(o?n:r,v,!0).text));var v;m("text")&&(0===(f=a.castOption(i,p.i,"text"))||f)&&g.push(f);if(s){var y=+p.rawS||p.s,x=p.v,b=x-y;m("initial")&&g.push(c(b)),m("delta")&&g.push(c(y)),m("final")&&g.push(c(x))}if(l){m("value")&&g.push(c(p.s));var _=0;m("percent initial")&&_++,m("percent previous")&&_++,m("percent total")&&_++;var w=_>1;m("percent initial")&&(f=a.formatPercent(p.begR),w&&(f+=" of initial"),g.push(f)),m("percent previous")&&(f=a.formatPercent(p.difR),w&&(f+=" of previous"),g.push(f)),m("percent total")&&(f=a.formatPercent(p.sumR),w&&(f+=" of total"),g.push(f))}return g.join("
")}(e,r,n,i):g.getValue(s.text,r);return g.coerceString(y,o)}(L,n,i,T,A);w=function(t,e){var r=g.getValue(t.textposition,e);return g.coerceEnumerated(x,r)}(P,i);var D="stack"===m.mode||"relative"===m.mode,R=n[i],F=!D||R._outmost;if(!O||"none"===w||(R.isBlank||s===c||f===p)&&("auto"===w||"inside"===w))return void r.select("text").remove();var B=L.font,N=d.getBarColor(n[i],P),j=d.getInsideTextFont(P,i,B,N),U=d.getOutsideTextFont(P,i,B),V=r.datum();z?"log"===T.type&&V.s0<=0&&(s=T.range[0]=G*(Z/Y):Z>=Y*(X/G);G>0&&Y>0&&(J||K||Q)?w="inside":(w="outside",q.remove(),q=null)}else w="inside";if(!q){W=a.ensureUniformFontSize(t,"outside"===w?U:j);var $=(q=I(r,O,W)).attr("transform");if(q.attr("transform",""),H=l.bBox(q.node()),G=H.width,Y=H.height,q.attr("transform",$),G<=0||Y<=0)return void q.remove()}var tt,et,rt=P.textangle;"outside"===w?(et="both"===P.constraintext||"outside"===P.constraintext,tt=function(t,e,r,n,i,a){var o,s=!!a.isHorizontal,l=!!a.constrained,c=a.angle||0,u=i.width,f=i.height,h=Math.abs(e-t),p=Math.abs(n-r);o=s?p>2*_?_:0:h>2*_?_:0;var d=1;l&&(d=s?Math.min(1,p/f):Math.min(1,h/u));var g=S(c),m=E(i,g),v=(s?m.x:m.y)/2,y=(i.left+i.right)/2,x=(i.top+i.bottom)/2,b=(t+e)/2,w=(r+n)/2,T=0,M=0,A=s?k(e,t):k(r,n);s?(b=e-A*o,T=A*v):(w=n+A*o,M=-A*v);return{textX:y,textY:x,targetX:b,targetY:w,anchorX:T,anchorY:M,scale:d,rotate:g}}(s,c,f,p,H,{isHorizontal:z,constrained:et,angle:rt})):(et="both"===P.constraintext||"inside"===P.constraintext,tt=C(s,c,f,p,H,{isHorizontal:z,constrained:et,angle:rt,anchor:P.insidetextanchor}));tt.fontSize=W.size,h(P.type,tt,L),R.transform=tt,M(q,L,m,v).attr("transform",a.getTextTransform(tt))}(t,e,P,r,p,B,N,j,U,m,v),e.layerClipId&&l.hideOutsideRangePoint(c,P.select("text"),w,L,f.xcalendar,f.ycalendar)}));var j=!1===f.cliponaxis;l.setClipUrl(c,j?null:e.layerClipId,t)}));c.getComponentMethod("errorbars","plot")(t,P,e,m)},toMoveInsideBar:C}},{"../../components/color":643,"../../components/drawing":665,"../../components/fx/helpers":679,"../../lib":778,"../../lib/svg_text_utils":803,"../../plots/cartesian/axes":828,"../../registry":911,"./attributes":921,"./constants":923,"./helpers":927,"./style":935,"./uniform_text":937,d3:169,"fast-isnumeric":241}],933:[function(t,e,r){"use strict";function n(t,e,r,n,i){var a=e.c2p(n?t.s0:t.p0,!0),o=e.c2p(n?t.s1:t.p1,!0),s=r.c2p(n?t.p0:t.s0,!0),l=r.c2p(n?t.p1:t.s1,!0);return i?[(a+o)/2,(s+l)/2]:n?[o,(s+l)/2]:[(a+o)/2,l]}e.exports=function(t,e){var r,i=t.cd,a=t.xaxis,o=t.yaxis,s=i[0].trace,l="funnel"===s.type,c="h"===s.orientation,u=[];if(!1===e)for(r=0;r1||0===i.bargap&&0===i.bargroupgap&&!t[0].trace.marker.line.width)&&n.select(this).attr("shape-rendering","crispEdges")})),e.selectAll("g.points").each((function(e){d(n.select(this),e[0].trace,t)})),s.getComponentMethod("errorbars","style")(e)},styleTextPoints:g,styleOnSelect:function(t,e,r){var i=e[0].trace;i.selectedpoints?function(t,e,r){a.selectedPointStyle(t.selectAll("path"),e),function(t,e,r){t.each((function(t){var i,s=n.select(this);if(t.selected){i=o.ensureUniformFontSize(r,m(s,t,e,r));var l=e.selected.textfont&&e.selected.textfont.color;l&&(i.color=l),a.font(s,i)}else a.selectedTextStyle(s,e)}))}(t.selectAll("text"),e,r)}(r,i,t):(d(r,i,t),s.getComponentMethod("errorbars","style")(r))},getInsideTextFont:y,getOutsideTextFont:x,getBarColor:_,resizeText:l}},{"../../components/color":643,"../../components/drawing":665,"../../lib":778,"../../registry":911,"./attributes":921,"./helpers":927,"./uniform_text":937,d3:169}],936:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("../../components/colorscale/helpers").hasColorscale,a=t("../../components/colorscale/defaults");e.exports=function(t,e,r,o,s){r("marker.color",o),i(t,"marker")&&a(t,e,s,r,{prefix:"marker.",cLetter:"c"}),r("marker.line.color",n.defaultLine),i(t,"marker.line")&&a(t,e,s,r,{prefix:"marker.line.",cLetter:"c"}),r("marker.line.width"),r("marker.opacity"),r("selected.marker.color"),r("unselected.marker.color")}},{"../../components/color":643,"../../components/colorscale/defaults":653,"../../components/colorscale/helpers":654}],937:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../lib");function a(t){return"_"+t+"Text_minsize"}e.exports={recordMinTextSize:function(t,e,r){if(r.uniformtext.mode){var n=a(t),i=r.uniformtext.minsize,o=e.scale*e.fontSize;e.hide=oh.range[1]&&(x+=Math.PI);if(n.getClosest(c,(function(t){return g(y,x,[t.rp0,t.rp1],[t.thetag0,t.thetag1],d)?m+Math.min(1,Math.abs(t.thetag1-t.thetag0)/v)-1+(t.rp1-y)/(t.rp1-t.rp0)-1:1/0}),t),!1!==t.index){var b=c[t.index];t.x0=t.x1=b.ct[0],t.y0=t.y1=b.ct[1];var _=i.extendFlat({},b,{r:b.s,theta:b.p});return o(b,u,t),s(_,u,f,t),t.hovertemplate=u.hovertemplate,t.color=a(u,b),t.xLabelVal=t.yLabelVal=void 0,b.s<0&&(t.idealAlign="left"),[t]}}},{"../../components/fx":683,"../../lib":778,"../../plots/polar/helpers":893,"../bar/hover":928,"../scatterpolar/hover":1265}],942:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"barpolar",basePlotModule:t("../../plots/polar"),categories:["polar","bar","showLegend"],attributes:t("./attributes"),layoutAttributes:t("./layout_attributes"),supplyDefaults:t("./defaults"),supplyLayoutDefaults:t("./layout_defaults"),calc:t("./calc").calc,crossTraceCalc:t("./calc").crossTraceCalc,plot:t("./plot"),colorbar:t("../scatter/marker_colorbar"),formatLabels:t("../scatterpolar/format_labels"),style:t("../bar/style").style,styleOnSelect:t("../bar/style").styleOnSelect,hoverPoints:t("./hover"),selectPoints:t("../bar/select"),meta:{}}},{"../../plots/polar":894,"../bar/select":933,"../bar/style":935,"../scatter/marker_colorbar":1205,"../scatterpolar/format_labels":1264,"./attributes":938,"./calc":939,"./defaults":940,"./hover":941,"./layout_attributes":943,"./layout_defaults":944,"./plot":945}],943:[function(t,e,r){"use strict";e.exports={barmode:{valType:"enumerated",values:["stack","overlay"],dflt:"stack",editType:"calc"},bargap:{valType:"number",dflt:.1,min:0,max:1,editType:"calc"}}},{}],944:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e,r){var a,o={};function s(r,o){return n.coerce(t[a]||{},e[a],i,r,o)}for(var l=0;l0?(c=o,u=l):(c=l,u=o);var f=[s.findEnclosingVertexAngles(c,t.vangles)[0],(c+u)/2,s.findEnclosingVertexAngles(u,t.vangles)[1]];return s.pathPolygonAnnulus(n,i,c,u,f,e,r)};return function(t,n,i,o){return a.pathAnnulus(t,n,i,o,e,r)}}(e),p=e.layers.frontplot.select("g.barlayer");a.makeTraceGroups(p,r,"trace bars").each((function(){var r=n.select(this),s=a.ensureSingle(r,"g","points").selectAll("g.point").data(a.identity);s.enter().append("g").style("vector-effect","non-scaling-stroke").style("stroke-miterlimit",2).classed("point",!0),s.exit().remove(),s.each((function(t){var e,r=n.select(this),o=t.rp0=u.c2p(t.s0),s=t.rp1=u.c2p(t.s1),p=t.thetag0=f.c2g(t.p0),d=t.thetag1=f.c2g(t.p1);if(i(o)&&i(s)&&i(p)&&i(d)&&o!==s&&p!==d){var g=u.c2g(t.s1),m=(p+d)/2;t.ct=[l.c2p(g*Math.cos(m)),c.c2p(g*Math.sin(m))],e=h(o,s,p,d)}else e="M0,0Z";a.ensureSingle(r,"path").attr("d",e)})),o.setClipUrl(r,e._hasClipOnAxisFalse?e.clipIds.forTraces:null,t)}))}},{"../../components/drawing":665,"../../lib":778,"../../plots/polar/helpers":893,d3:169,"fast-isnumeric":241}],946:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../bar/attributes"),a=t("../../components/color/attributes"),o=t("../../plots/template_attributes").hovertemplateAttrs,s=t("../../lib/extend").extendFlat,l=n.marker,c=l.line;e.exports={y:{valType:"data_array",editType:"calc+clearAxisTypes"},x:{valType:"data_array",editType:"calc+clearAxisTypes"},x0:{valType:"any",editType:"calc+clearAxisTypes"},y0:{valType:"any",editType:"calc+clearAxisTypes"},dx:{valType:"number",editType:"calc"},dy:{valType:"number",editType:"calc"},xperiod:n.xperiod,yperiod:n.yperiod,xperiod0:n.xperiod0,yperiod0:n.yperiod0,xperiodalignment:n.xperiodalignment,yperiodalignment:n.yperiodalignment,name:{valType:"string",editType:"calc+clearAxisTypes"},q1:{valType:"data_array",editType:"calc+clearAxisTypes"},median:{valType:"data_array",editType:"calc+clearAxisTypes"},q3:{valType:"data_array",editType:"calc+clearAxisTypes"},lowerfence:{valType:"data_array",editType:"calc"},upperfence:{valType:"data_array",editType:"calc"},notched:{valType:"boolean",editType:"calc"},notchwidth:{valType:"number",min:0,max:.5,dflt:.25,editType:"calc"},notchspan:{valType:"data_array",editType:"calc"},boxpoints:{valType:"enumerated",values:["all","outliers","suspectedoutliers",!1],editType:"calc"},jitter:{valType:"number",min:0,max:1,editType:"calc"},pointpos:{valType:"number",min:-2,max:2,editType:"calc"},boxmean:{valType:"enumerated",values:[!0,"sd",!1],editType:"calc"},mean:{valType:"data_array",editType:"calc"},sd:{valType:"data_array",editType:"calc"},orientation:{valType:"enumerated",values:["v","h"],editType:"calc+clearAxisTypes"},quartilemethod:{valType:"enumerated",values:["linear","exclusive","inclusive"],dflt:"linear",editType:"calc"},width:{valType:"number",min:0,dflt:0,editType:"calc"},marker:{outliercolor:{valType:"color",dflt:"rgba(0, 0, 0, 0)",editType:"style"},symbol:s({},l.symbol,{arrayOk:!1,editType:"plot"}),opacity:s({},l.opacity,{arrayOk:!1,dflt:1,editType:"style"}),size:s({},l.size,{arrayOk:!1,editType:"calc"}),color:s({},l.color,{arrayOk:!1,editType:"style"}),line:{color:s({},c.color,{arrayOk:!1,dflt:a.defaultLine,editType:"style"}),width:s({},c.width,{arrayOk:!1,dflt:0,editType:"style"}),outliercolor:{valType:"color",editType:"style"},outlierwidth:{valType:"number",min:0,dflt:1,editType:"style"},editType:"style"},editType:"plot"},line:{color:{valType:"color",editType:"style"},width:{valType:"number",min:0,dflt:2,editType:"style"},editType:"plot"},fillcolor:n.fillcolor,whiskerwidth:{valType:"number",min:0,max:1,dflt:.5,editType:"calc"},offsetgroup:i.offsetgroup,alignmentgroup:i.alignmentgroup,selected:{marker:n.selected.marker,editType:"style"},unselected:{marker:n.unselected.marker,editType:"style"},text:s({},n.text,{}),hovertext:s({},n.hovertext,{}),hovertemplate:o({}),hoveron:{valType:"flaglist",flags:["boxes","points"],dflt:"boxes+points",editType:"style"}}},{"../../components/color/attributes":642,"../../lib/extend":768,"../../plots/template_attributes":906,"../bar/attributes":921,"../scatter/attributes":1187}],947:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../plots/cartesian/axes"),a=t("../../plots/cartesian/align_period"),o=t("../../lib"),s=t("../../constants/numerical").BADNUM,l=o._;e.exports=function(t,e){var r,c,y,x,b,_,w,T=t._fullLayout,k=i.getFromId(t,e.xaxis||"x"),M=i.getFromId(t,e.yaxis||"y"),A=[],S="violin"===e.type?"_numViolins":"_numBoxes";"h"===e.orientation?(y=k,x="x",b=M,_="y",w=!!e.yperiodalignment):(y=M,x="y",b=k,_="x",w=!!e.xperiodalignment);var E,C,L,I,P,z,O=function(t,e,r,i){var s,l=e+"0"in t,c="d"+e in t;if(e in t||l&&c){var u=r.makeCalcdata(t,e);return[a(t,r,e,u),u]}s=l?t[e+"0"]:"name"in t&&("category"===r.type||n(t.name)&&-1!==["linear","log"].indexOf(r.type)||o.isDateTime(t.name)&&"date"===r.type)?t.name:i;for(var f="multicategory"===r.type?r.r2c_just_indices(s):r.d2c(s,0,t[e+"calendar"]),h=t._length,p=new Array(h),d=0;dE.uf};if(e._hasPreCompStats){var U=e[x],V=function(t){return y.d2c((e[t]||[])[r])},q=1/0,H=-1/0;for(r=0;r=E.q1&&E.q3>=E.med){var Y=V("lowerfence");E.lf=Y!==s&&Y<=E.q1?Y:p(E,L,I);var W=V("upperfence");E.uf=W!==s&&W>=E.q3?W:d(E,L,I);var X=V("mean");E.mean=X!==s?X:I?o.mean(L,I):(E.q1+E.q3)/2;var Z=V("sd");E.sd=X!==s&&Z>=0?Z:I?o.stdev(L,I,E.mean):E.q3-E.q1,E.lo=g(E),E.uo=m(E);var J=V("notchspan");J=J!==s&&J>0?J:v(E,I),E.ln=E.med-J,E.un=E.med+J;var K=E.lf,Q=E.uf;e.boxpoints&&L.length&&(K=Math.min(K,L[0]),Q=Math.max(Q,L[I-1])),e.notched&&(K=Math.min(K,E.ln),Q=Math.max(Q,E.un)),E.min=K,E.max=Q}else{var $;o.warn(["Invalid input - make sure that q1 <= median <= q3","q1 = "+E.q1,"median = "+E.med,"q3 = "+E.q3].join("\n")),$=E.med!==s?E.med:E.q1!==s?E.q3!==s?(E.q1+E.q3)/2:E.q1:E.q3!==s?E.q3:0,E.med=$,E.q1=E.q3=$,E.lf=E.uf=$,E.mean=E.sd=$,E.ln=E.un=$,E.min=E.max=$}q=Math.min(q,E.min),H=Math.max(H,E.max),E.pts2=C.filter(j),A.push(E)}}e._extremes[y._id]=i.findExtremes(y,[q,H],{padded:!0})}else{var tt=y.makeCalcdata(e,x),et=function(t,e){for(var r=t.length,n=new Array(r+1),i=0;i=0&&it0){var ut,ft;if((E={}).pos=E[_]=B[r],C=E.pts=nt[r].sort(f),I=(L=E[x]=C.map(h)).length,E.min=L[0],E.max=L[I-1],E.mean=o.mean(L,I),E.sd=o.stdev(L,I,E.mean),E.med=o.interp(L,.5),I%2&&(lt||ct))lt?(ut=L.slice(0,I/2),ft=L.slice(I/2+1)):ct&&(ut=L.slice(0,I/2+1),ft=L.slice(I/2)),E.q1=o.interp(ut,.5),E.q3=o.interp(ft,.5);else E.q1=o.interp(L,.25),E.q3=o.interp(L,.75);E.lf=p(E,L,I),E.uf=d(E,L,I),E.lo=g(E),E.uo=m(E);var ht=v(E,I);E.ln=E.med-ht,E.un=E.med+ht,at=Math.min(at,E.ln),ot=Math.max(ot,E.un),E.pts2=C.filter(j),A.push(E)}e._extremes[y._id]=i.findExtremes(y,e.notched?tt.concat([at,ot]):tt,{padded:!0})}return function(t,e){if(o.isArrayOrTypedArray(e.selectedpoints))for(var r=0;r0?(A[0].t={num:T[S],dPos:N,posLetter:_,valLetter:x,labels:{med:l(t,"median:"),min:l(t,"min:"),q1:l(t,"q1:"),q3:l(t,"q3:"),max:l(t,"max:"),mean:"sd"===e.boxmean?l(t,"mean \xb1 \u03c3:"):l(t,"mean:"),lf:l(t,"lower fence:"),uf:l(t,"upper fence:")}},T[S]++,A):[{t:{empty:!0}}]};var c={text:"tx",hovertext:"htx"};function u(t,e,r){for(var n in c)o.isArrayOrTypedArray(e[n])&&(Array.isArray(r)?o.isArrayOrTypedArray(e[n][r[0]])&&(t[c[n]]=e[n][r[0]][r[1]]):t[c[n]]=e[n][r])}function f(t,e){return t.v-e.v}function h(t){return t.v}function p(t,e,r){return 0===r?t.q1:Math.min(t.q1,e[Math.min(o.findBin(2.5*t.q1-1.5*t.q3,e,!0)+1,r-1)])}function d(t,e,r){return 0===r?t.q3:Math.max(t.q3,e[Math.max(o.findBin(2.5*t.q3-1.5*t.q1,e),0)])}function g(t){return 4*t.q1-3*t.q3}function m(t){return 4*t.q3-3*t.q1}function v(t,e){return 0===e?0:1.57*(t.q3-t.q1)/Math.sqrt(e)}},{"../../constants/numerical":753,"../../lib":778,"../../plots/cartesian/align_period":825,"../../plots/cartesian/axes":828,"fast-isnumeric":241}],948:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes"),i=t("../../lib"),a=t("../../plots/cartesian/constraints").getAxisGroup,o=["v","h"];function s(t,e,r,o){var s,l,c,u=e.calcdata,f=e._fullLayout,h=o._id,p=h.charAt(0),d=[],g=0;for(s=0;s1,b=1-f[t+"gap"],_=1-f[t+"groupgap"];for(s=0;s0){var H=E.pointpos,G=E.jitter,Y=E.marker.size/2,W=0;H+G>=0&&((W=V*(H+G))>A?(q=!0,j=Y,B=W):W>R&&(j=Y,B=A)),W<=A&&(B=A);var X=0;H-G<=0&&((X=-V*(H-G))>S?(q=!0,U=Y,N=X):X>F&&(U=Y,N=S)),X<=S&&(N=S)}else B=A,N=S;var Z=new Array(c.length);for(l=0;l0?(m="v",v=x>0?Math.min(_,b):Math.min(b)):x>0?(m="h",v=Math.min(_)):v=0;if(v){e._length=v;var S=r("orientation",m);e._hasPreCompStats?"v"===S&&0===x?(r("x0",0),r("dx",1)):"h"===S&&0===y&&(r("y0",0),r("dy",1)):"v"===S&&0===x?r("x0"):"h"===S&&0===y&&r("y0"),i.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y"],a)}else e.visible=!1}function f(t,e,r,i){var a=i.prefix,o=n.coerce2(t,e,c,"marker.outliercolor"),s=r("marker.line.outliercolor"),l="outliers";e._hasPreCompStats?l="all":(o||s)&&(l="suspectedoutliers");var u=r(a+"points",l);u?(r("jitter","all"===u?.3:0),r("pointpos","all"===u?-1.5:0),r("marker.symbol"),r("marker.opacity"),r("marker.size"),r("marker.color",e.line.color),r("marker.line.color"),r("marker.line.width"),"suspectedoutliers"===u&&(r("marker.line.outliercolor",e.marker.color),r("marker.line.outlierwidth")),r("selected.marker.color"),r("unselected.marker.color"),r("selected.marker.size"),r("unselected.marker.size"),r("text"),r("hovertext")):delete e.marker;var f=r("hoveron");"all"!==f&&-1===f.indexOf("points")||r("hovertemplate"),n.coerceSelectionMarkerOpacity(e,r)}e.exports={supplyDefaults:function(t,e,r,i){function s(r,i){return n.coerce(t,e,c,r,i)}if(u(t,e,s,i),!1!==e.visible){o(t,e,i,s);var l=e._hasPreCompStats;l&&(s("lowerfence"),s("upperfence")),s("line.color",(t.marker||{}).color||r),s("line.width"),s("fillcolor",a.addOpacity(e.line.color,.5));var h=!1;if(l){var p=s("mean"),d=s("sd");p&&p.length&&(h=!0,d&&d.length&&(h="sd"))}s("boxmean",h),s("whiskerwidth"),s("width"),s("quartilemethod");var g=!1;if(l){var m=s("notchspan");m&&m.length&&(g=!0)}else n.validate(t.notchwidth,c.notchwidth)&&(g=!0);s("notched",g)&&s("notchwidth"),f(t,e,s,{prefix:"box"})}},crossTraceDefaults:function(t,e){var r,i;function a(t){return n.coerce(i._input,i,c,t)}for(var o=0;ot.lo&&(x.so=!0)}return a}));h.enter().append("path").classed("point",!0),h.exit().remove(),h.call(a.translatePoints,o,s)}function l(t,e,r,a){var o,s,l=e.val,c=e.pos,u=!!c.rangebreaks,f=a.bPos,h=a.bPosPxOffset||0,p=r.boxmean||(r.meanline||{}).visible;Array.isArray(a.bdPos)?(o=a.bdPos[0],s=a.bdPos[1]):(o=a.bdPos,s=a.bdPos);var d=t.selectAll("path.mean").data("box"===r.type&&r.boxmean||"violin"===r.type&&r.box.visible&&r.meanline.visible?i.identity:[]);d.enter().append("path").attr("class","mean").style({fill:"none","vector-effect":"non-scaling-stroke"}),d.exit().remove(),d.each((function(t){var e=c.c2l(t.pos+f,!0),i=c.l2p(e-o)+h,a=c.l2p(e+s)+h,d=u?(i+a)/2:c.l2p(e)+h,g=l.c2p(t.mean,!0),m=l.c2p(t.mean-t.sd,!0),v=l.c2p(t.mean+t.sd,!0);"h"===r.orientation?n.select(this).attr("d","M"+g+","+i+"V"+a+("sd"===p?"m0,0L"+m+","+d+"L"+g+","+i+"L"+v+","+d+"Z":"")):n.select(this).attr("d","M"+i+","+g+"H"+a+("sd"===p?"m0,0L"+d+","+m+"L"+i+","+g+"L"+d+","+v+"Z":""))}))}e.exports={plot:function(t,e,r,a){var c=e.xaxis,u=e.yaxis;i.makeTraceGroups(a,r,"trace boxes").each((function(t){var e,r,i=n.select(this),a=t[0],f=a.t,h=a.trace;(f.wdPos=f.bdPos*h.whiskerwidth,!0!==h.visible||f.empty)?i.remove():("h"===h.orientation?(e=u,r=c):(e=c,r=u),o(i,{pos:e,val:r},h,f),s(i,{x:c,y:u},h,f),l(i,{pos:e,val:r},h,f))}))},plotBoxAndWhiskers:o,plotPoints:s,plotBoxMean:l}},{"../../components/drawing":665,"../../lib":778,d3:169}],956:[function(t,e,r){"use strict";e.exports=function(t,e){var r,n,i=t.cd,a=t.xaxis,o=t.yaxis,s=[];if(!1===e)for(r=0;r=10)return null;for(var i=1/0,a=-1/0,o=e.length,s=0;s0?Math.floor:Math.ceil,P=C>0?Math.ceil:Math.floor,z=C>0?Math.min:Math.max,O=C>0?Math.max:Math.min,D=I(S+L),R=P(E-L),F=[[f=A(S)]];for(a=D;a*C=0;i--)a[u-i]=t[f][i],o[u-i]=e[f][i];for(s.push({x:a,y:o,bicubic:l}),i=f,a=[],o=[];i>=0;i--)a[f-i]=t[i][0],o[f-i]=e[i][0];return s.push({x:a,y:o,bicubic:c}),s}},{}],970:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes"),i=t("../../lib/extend").extendFlat;e.exports=function(t,e,r){var a,o,s,l,c,u,f,h,p,d,g,m,v,y,x=t["_"+e],b=t[e+"axis"],_=b._gridlines=[],w=b._minorgridlines=[],T=b._boundarylines=[],k=t["_"+r],M=t[r+"axis"];"array"===b.tickmode&&(b.tickvals=x.slice());var A=t._xctrl,S=t._yctrl,E=A[0].length,C=A.length,L=t._a.length,I=t._b.length;n.prepTicks(b),"array"===b.tickmode&&delete b.tickvals;var P=b.smoothing?3:1;function z(n){var i,a,o,s,l,c,u,f,p,d,g,m,v=[],y=[],x={};if("b"===e)for(a=t.b2j(n),o=Math.floor(Math.max(0,Math.min(I-2,a))),s=a-o,x.length=I,x.crossLength=L,x.xy=function(e){return t.evalxy([],e,a)},x.dxy=function(e,r){return t.dxydi([],e,o,r,s)},i=0;i0&&(p=t.dxydi([],i-1,o,0,s),v.push(l[0]+p[0]/3),y.push(l[1]+p[1]/3),d=t.dxydi([],i-1,o,1,s),v.push(f[0]-d[0]/3),y.push(f[1]-d[1]/3)),v.push(f[0]),y.push(f[1]),l=f;else for(i=t.a2i(n),c=Math.floor(Math.max(0,Math.min(L-2,i))),u=i-c,x.length=L,x.crossLength=I,x.xy=function(e){return t.evalxy([],i,e)},x.dxy=function(e,r){return t.dxydj([],c,e,u,r)},a=0;a0&&(g=t.dxydj([],c,a-1,u,0),v.push(l[0]+g[0]/3),y.push(l[1]+g[1]/3),m=t.dxydj([],c,a-1,u,1),v.push(f[0]-m[0]/3),y.push(f[1]-m[1]/3)),v.push(f[0]),y.push(f[1]),l=f;return x.axisLetter=e,x.axis=b,x.crossAxis=M,x.value=n,x.constvar=r,x.index=h,x.x=v,x.y=y,x.smoothing=M.smoothing,x}function O(n){var i,a,o,s,l,c=[],u=[],f={};if(f.length=x.length,f.crossLength=k.length,"b"===e)for(o=Math.max(0,Math.min(I-2,n)),l=Math.min(1,Math.max(0,n-o)),f.xy=function(e){return t.evalxy([],e,n)},f.dxy=function(e,r){return t.dxydi([],e,o,r,l)},i=0;ix.length-1||_.push(i(O(o),{color:b.gridcolor,width:b.gridwidth}));for(h=u;hx.length-1||g<0||g>x.length-1))for(m=x[s],v=x[g],a=0;ax[x.length-1]||w.push(i(z(d),{color:b.minorgridcolor,width:b.minorgridwidth}));b.startline&&T.push(i(O(0),{color:b.startlinecolor,width:b.startlinewidth})),b.endline&&T.push(i(O(x.length-1),{color:b.endlinecolor,width:b.endlinewidth}))}else{for(l=5e-15,u=(c=[Math.floor((x[x.length-1]-b.tick0)/b.dtick*(1+l)),Math.ceil((x[0]-b.tick0)/b.dtick/(1+l))].sort((function(t,e){return t-e})))[0],f=c[1],h=u;h<=f;h++)p=b.tick0+b.dtick*h,_.push(i(z(p),{color:b.gridcolor,width:b.gridwidth}));for(h=u-1;hx[x.length-1]||w.push(i(z(d),{color:b.minorgridcolor,width:b.minorgridwidth}));b.startline&&T.push(i(z(x[0]),{color:b.startlinecolor,width:b.startlinewidth})),b.endline&&T.push(i(z(x[x.length-1]),{color:b.endlinecolor,width:b.endlinewidth}))}}},{"../../lib/extend":768,"../../plots/cartesian/axes":828}],971:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes"),i=t("../../lib/extend").extendFlat;e.exports=function(t,e){var r,a,o,s=e._labels=[],l=e._gridlines;for(r=0;re.length&&(t=t.slice(0,e.length)):t=[],i=0;i90&&(p-=180,l=-l),{angle:p,flip:l,p:t.c2p(n,e,r),offsetMultplier:c}}},{}],985:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../components/drawing"),a=t("./map_1d_array"),o=t("./makepath"),s=t("./orient_text"),l=t("../../lib/svg_text_utils"),c=t("../../lib"),u=c.strRotate,f=c.strTranslate,h=t("../../constants/alignment");function p(t,e,r,i,s,l){var c="const-"+s+"-lines",u=r.selectAll("."+c).data(l);u.enter().append("path").classed(c,!0).style("vector-effect","non-scaling-stroke"),u.each((function(r){var i=r,s=i.x,l=i.y,c=a([],s,t.c2p),u=a([],l,e.c2p),f="M"+o(c,u,i.smoothing);n.select(this).attr("d",f).style("stroke-width",i.width).style("stroke",i.color).style("fill","none")})),u.exit().remove()}function d(t,e,r,a,o,c,h,p){var d=c.selectAll("text."+p).data(h);d.enter().append("text").classed(p,!0);var g=0,m={};return d.each((function(o,c){var h;if("auto"===o.axis.tickangle)h=s(a,e,r,o.xy,o.dxy);else{var p=(o.axis.tickangle+180)*Math.PI/180;h=s(a,e,r,o.xy,[Math.cos(p),Math.sin(p)])}c||(m={angle:h.angle,flip:h.flip});var d=(o.endAnchor?-1:1)*h.flip,v=n.select(this).attr({"text-anchor":d>0?"start":"end","data-notex":1}).call(i.font,o.font).text(o.text).call(l.convertToTspans,t),y=i.bBox(this);v.attr("transform",f(h.p[0],h.p[1])+u(h.angle)+f(o.axis.labelpadding*d,.3*y.height)),g=Math.max(g,y.width+o.axis.labelpadding)})),d.exit().remove(),m.maxExtent=g,m}e.exports=function(t,e,r,i){var l=e.xaxis,u=e.yaxis,f=t._fullLayout._clips;c.makeTraceGroups(i,r,"trace").each((function(e){var r=n.select(this),i=e[0],h=i.trace,g=h.aaxis,m=h.baxis,y=c.ensureSingle(r,"g","minorlayer"),x=c.ensureSingle(r,"g","majorlayer"),b=c.ensureSingle(r,"g","boundarylayer"),_=c.ensureSingle(r,"g","labellayer");r.style("opacity",h.opacity),p(l,u,x,g,"a",g._gridlines),p(l,u,x,m,"b",m._gridlines),p(l,u,y,g,"a",g._minorgridlines),p(l,u,y,m,"b",m._minorgridlines),p(l,u,b,g,"a-boundary",g._boundarylines),p(l,u,b,m,"b-boundary",m._boundarylines);var w=d(t,l,u,h,i,_,g._labels,"a-label"),T=d(t,l,u,h,i,_,m._labels,"b-label");!function(t,e,r,n,i,a,o,l){var u,f,h,p,d=c.aggNums(Math.min,null,r.a),g=c.aggNums(Math.max,null,r.a),m=c.aggNums(Math.min,null,r.b),y=c.aggNums(Math.max,null,r.b);u=.5*(d+g),f=m,h=r.ab2xy(u,f,!0),p=r.dxyda_rough(u,f),void 0===o.angle&&c.extendFlat(o,s(r,i,a,h,r.dxydb_rough(u,f)));v(t,e,r,n,h,p,r.aaxis,i,a,o,"a-title"),u=d,f=.5*(m+y),h=r.ab2xy(u,f,!0),p=r.dxydb_rough(u,f),void 0===l.angle&&c.extendFlat(l,s(r,i,a,h,r.dxyda_rough(u,f)));v(t,e,r,n,h,p,r.baxis,i,a,l,"b-title")}(t,_,h,i,l,u,w,T),function(t,e,r,n,i){var s,l,u,f,h=r.select("#"+t._clipPathId);h.size()||(h=r.append("clipPath").classed("carpetclip",!0));var p=c.ensureSingle(h,"path","carpetboundary"),d=e.clipsegments,g=[];for(f=0;f90&&y<270,b=n.select(this);b.text(h.title.text).call(l.convertToTspans,t),x&&(_=(-l.lineCount(b)+m)*g*a-_),b.attr("transform",f(e.p[0],e.p[1])+u(e.angle)+f(0,_)).attr("text-anchor","middle").call(i.font,h.title.font)})),b.exit().remove()}},{"../../components/drawing":665,"../../constants/alignment":745,"../../lib":778,"../../lib/svg_text_utils":803,"./makepath":982,"./map_1d_array":983,"./orient_text":984,d3:169}],986:[function(t,e,r){"use strict";var n=t("./constants"),i=t("../../lib/search").findBin,a=t("./compute_control_points"),o=t("./create_spline_evaluator"),s=t("./create_i_derivative_evaluator"),l=t("./create_j_derivative_evaluator");e.exports=function(t){var e=t._a,r=t._b,c=e.length,u=r.length,f=t.aaxis,h=t.baxis,p=e[0],d=e[c-1],g=r[0],m=r[u-1],v=e[e.length-1]-e[0],y=r[r.length-1]-r[0],x=v*n.RELATIVE_CULL_TOLERANCE,b=y*n.RELATIVE_CULL_TOLERANCE;p-=x,d+=x,g-=b,m+=b,t.isVisible=function(t,e){return t>p&&tg&&ed||em},t.setScale=function(){var e=t._x,r=t._y,n=a(t._xctrl,t._yctrl,e,r,f.smoothing,h.smoothing);t._xctrl=n[0],t._yctrl=n[1],t.evalxy=o([t._xctrl,t._yctrl],c,u,f.smoothing,h.smoothing),t.dxydi=s([t._xctrl,t._yctrl],f.smoothing,h.smoothing),t.dxydj=l([t._xctrl,t._yctrl],f.smoothing,h.smoothing)},t.i2a=function(t){var r=Math.max(0,Math.floor(t[0]),c-2),n=t[0]-r;return(1-n)*e[r]+n*e[r+1]},t.j2b=function(t){var e=Math.max(0,Math.floor(t[1]),c-2),n=t[1]-e;return(1-n)*r[e]+n*r[e+1]},t.ij2ab=function(e){return[t.i2a(e[0]),t.j2b(e[1])]},t.a2i=function(t){var r=Math.max(0,Math.min(i(t,e),c-2)),n=e[r],a=e[r+1];return Math.max(0,Math.min(c-1,r+(t-n)/(a-n)))},t.b2j=function(t){var e=Math.max(0,Math.min(i(t,r),u-2)),n=r[e],a=r[e+1];return Math.max(0,Math.min(u-1,e+(t-n)/(a-n)))},t.ab2ij=function(e){return[t.a2i(e[0]),t.b2j(e[1])]},t.i2c=function(e,r){return t.evalxy([],e,r)},t.ab2xy=function(n,i,a){if(!a&&(ne[c-1]|ir[u-1]))return[!1,!1];var o=t.a2i(n),s=t.b2j(i),l=t.evalxy([],o,s);if(a){var f,h,p,d,g=0,m=0,v=[];ne[c-1]?(f=c-2,h=1,g=(n-e[c-1])/(e[c-1]-e[c-2])):h=o-(f=Math.max(0,Math.min(c-2,Math.floor(o)))),ir[u-1]?(p=u-2,d=1,m=(i-r[u-1])/(r[u-1]-r[u-2])):d=s-(p=Math.max(0,Math.min(u-2,Math.floor(s)))),g&&(t.dxydi(v,f,p,h,d),l[0]+=v[0]*g,l[1]+=v[1]*g),m&&(t.dxydj(v,f,p,h,d),l[0]+=v[0]*m,l[1]+=v[1]*m)}return l},t.c2p=function(t,e,r){return[e.c2p(t[0]),r.c2p(t[1])]},t.p2x=function(t,e,r){return[e.p2c(t[0]),r.p2c(t[1])]},t.dadi=function(t){var r=Math.max(0,Math.min(e.length-2,t));return e[r+1]-e[r]},t.dbdj=function(t){var e=Math.max(0,Math.min(r.length-2,t));return r[e+1]-r[e]},t.dxyda=function(e,r,n,i){var a=t.dxydi(null,e,r,n,i),o=t.dadi(e,n);return[a[0]/o,a[1]/o]},t.dxydb=function(e,r,n,i){var a=t.dxydj(null,e,r,n,i),o=t.dbdj(r,i);return[a[0]/o,a[1]/o]},t.dxyda_rough=function(e,r,n){var i=v*(n||.1),a=t.ab2xy(e+i,r,!0),o=t.ab2xy(e-i,r,!0);return[.5*(a[0]-o[0])/i,.5*(a[1]-o[1])/i]},t.dxydb_rough=function(e,r,n){var i=y*(n||.1),a=t.ab2xy(e,r+i,!0),o=t.ab2xy(e,r-i,!0);return[.5*(a[0]-o[0])/i,.5*(a[1]-o[1])/i]},t.dpdx=function(t){return t._m},t.dpdy=function(t){return t._m}}},{"../../lib/search":798,"./compute_control_points":974,"./constants":975,"./create_i_derivative_evaluator":976,"./create_j_derivative_evaluator":977,"./create_spline_evaluator":978}],987:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e,r){var i,a,o,s=[],l=[],c=t[0].length,u=t.length;function f(e,r){var n,i=0,a=0;return e>0&&void 0!==(n=t[r][e-1])&&(a++,i+=n),e0&&void 0!==(n=t[r-1][e])&&(a++,i+=n),r0&&a0&&i1e-5);return n.log("Smoother converged to",k,"after",M,"iterations"),t}},{"../../lib":778}],988:[function(t,e,r){"use strict";var n=t("../../lib").isArray1D;e.exports=function(t,e,r){var i=r("x"),a=i&&i.length,o=r("y"),s=o&&o.length;if(!a&&!s)return!1;if(e._cheater=!i,a&&!n(i)||s&&!n(o))e._length=null;else{var l=a?i.length:1/0;s&&(l=Math.min(l,o.length)),e.a&&e.a.length&&(l=Math.min(l,e.a.length)),e.b&&e.b.length&&(l=Math.min(l,e.b.length)),e._length=l}return!0}},{"../../lib":778}],989:[function(t,e,r){"use strict";var n=t("../../plots/template_attributes").hovertemplateAttrs,i=t("../scattergeo/attributes"),a=t("../../components/colorscale/attributes"),o=t("../../plots/attributes"),s=t("../../components/color/attributes").defaultLine,l=t("../../lib/extend").extendFlat,c=i.marker.line;e.exports=l({locations:{valType:"data_array",editType:"calc"},locationmode:i.locationmode,z:{valType:"data_array",editType:"calc"},geojson:l({},i.geojson,{}),featureidkey:i.featureidkey,text:l({},i.text,{}),hovertext:l({},i.hovertext,{}),marker:{line:{color:l({},c.color,{dflt:s}),width:l({},c.width,{dflt:1}),editType:"calc"},opacity:{valType:"number",arrayOk:!0,min:0,max:1,dflt:1,editType:"style"},editType:"calc"},selected:{marker:{opacity:i.selected.marker.opacity,editType:"plot"},editType:"plot"},unselected:{marker:{opacity:i.unselected.marker.opacity,editType:"plot"},editType:"plot"},hoverinfo:l({},o.hoverinfo,{editType:"calc",flags:["location","z","text","name"]}),hovertemplate:n(),showlegend:l({},o.showlegend,{dflt:!1})},a("",{cLetter:"z",editTypeOverride:"calc"}))},{"../../components/color/attributes":642,"../../components/colorscale/attributes":650,"../../lib/extend":768,"../../plots/attributes":824,"../../plots/template_attributes":906,"../scattergeo/attributes":1229}],990:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../constants/numerical").BADNUM,a=t("../../components/colorscale/calc"),o=t("../scatter/arrays_to_calcdata"),s=t("../scatter/calc_selection");function l(t){return t&&"string"==typeof t}e.exports=function(t,e){var r,c=e._length,u=new Array(c);r=e.geojson?function(t){return l(t)||n(t)}:l;for(var f=0;f")}(t,f,o),[t]}},{"../../lib":778,"../../plots/cartesian/axes":828,"./attributes":989}],994:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../heatmap/colorbar"),calc:t("./calc"),calcGeoJSON:t("./plot").calcGeoJSON,plot:t("./plot").plot,style:t("./style").style,styleOnSelect:t("./style").styleOnSelect,hoverPoints:t("./hover"),eventData:t("./event_data"),selectPoints:t("./select"),moduleType:"trace",name:"choropleth",basePlotModule:t("../../plots/geo"),categories:["geo","noOpacity","showLegend"],meta:{}}},{"../../plots/geo":860,"../heatmap/colorbar":1068,"./attributes":989,"./calc":990,"./defaults":991,"./event_data":992,"./hover":993,"./plot":995,"./select":996,"./style":997}],995:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../lib"),a=t("../../lib/geo_location_utils"),o=t("../../lib/topojson_utils").getTopojsonFeatures,s=t("../../plots/cartesian/autorange").findExtremes,l=t("./style").style;e.exports={calcGeoJSON:function(t,e){for(var r=t[0].trace,n=e[r.geo],i=n._subplot,l=r.locationmode,c=r._length,u="geojson-id"===l?a.extractTraceFeature(t):o(r,i.topojson),f=[],h=[],p=0;p<c;p++){var d=t[p],g="geojson-id"===l?d.fOut:a.locationToFeature(l,d.loc,u);if(g){d.geojson=g,d.ct=g.properties.ct,d._polygons=a.feature2polygons(g);var m=a.computeBbox(g);f.push(m[0],m[2]),h.push(m[1],m[3])}else d.geojson=null}if("geojson"===n.fitbounds&&"geojson-id"===l){var v=a.computeBbox(a.getTraceGeojson(r));f=[v[0],v[2]],h=[v[1],v[3]]}var y={padded:!0};r._extremes.lon=s(n.lonaxis._ax,f,y),r._extremes.lat=s(n.lataxis._ax,h,y)},plot:function(t,e,r){var a=e.layers.backplot.select(".choroplethlayer");i.makeTraceGroups(a,r,"trace choropleth").each((function(e){var r=n.select(this).selectAll("path.choroplethlocation").data(i.identity);r.enter().append("path").classed("choroplethlocation",!0),r.exit().remove(),l(t,e)}))}}},{"../../lib":778,"../../lib/geo_location_utils":771,"../../lib/topojson_utils":806,"../../plots/cartesian/autorange":827,"./style":997,d3:169}],996:[function(t,e,r){"use strict";e.exports=function(t,e){var r,n,i,a,o,s=t.cd,l=t.xaxis,c=t.yaxis,u=[];if(!1===e)for(r=0;r<s.length;r++)s[r].selected=0;else for(r=0;r<s.length;r++)(i=(n=s[r]).ct)&&(a=l.c2p(i),o=c.c2p(i),e.contains([a,o],null,r,t)?(u.push({pointNumber:r,lon:i[0],lat:i[1]}),n.selected=1):n.selected=0);return u}},{}],997:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../components/color"),a=t("../../components/drawing"),o=t("../../components/colorscale");function s(t,e){var r=e[0].trace,s=e[0].node3.selectAll(".choroplethlocation"),l=r.marker||{},c=l.line||{},u=o.makeColorScaleFuncFromTrace(r);s.each((function(t){n.select(this).attr("fill",u(t.z)).call(i.stroke,t.mlc||c.color).call(a.dashLine,"",t.mlw||c.width||0).style("opacity",l.opacity)})),a.selectedPointStyle(s,r,t)}e.exports={style:function(t,e){e&&s(t,e)},styleOnSelect:function(t,e){var r=e[0].node3,n=e[0].trace;n.selectedpoints?a.selectedPointStyle(r.selectAll(".choroplethlocation"),n,t):s(t,e)}}},{"../../components/color":643,"../../components/colorscale":655,"../../components/drawing":665,d3:169}],998:[function(t,e,r){"use strict";var n=t("../choropleth/attributes"),i=t("../../components/colorscale/attributes"),a=t("../../plots/template_attributes").hovertemplateAttrs,o=t("../../plots/attributes"),s=t("../../lib/extend").extendFlat;e.exports=s({locations:{valType:"data_array",editType:"calc"},z:{valType:"data_array",editType:"calc"},geojson:{valType:"any",editType:"calc"},featureidkey:s({},n.featureidkey,{}),below:{valType:"string",editType:"plot"},text:n.text,hovertext:n.hovertext,marker:{line:{color:s({},n.marker.line.color,{editType:"plot"}),width:s({},n.marker.line.width,{editType:"plot"}),editType:"calc"},opacity:s({},n.marker.opacity,{editType:"plot"}),editType:"calc"},selected:{marker:{opacity:s({},n.selected.marker.opacity,{editType:"plot"}),editType:"plot"},editType:"plot"},unselected:{marker:{opacity:s({},n.unselected.marker.opacity,{editType:"plot"}),editType:"plot"},editType:"plot"},hoverinfo:n.hoverinfo,hovertemplate:a({},{keys:["properties"]}),showlegend:s({},o.showlegend,{dflt:!1})},i("",{cLetter:"z",editTypeOverride:"calc"}))},{"../../components/colorscale/attributes":650,"../../lib/extend":768,"../../plots/attributes":824,"../../plots/template_attributes":906,"../choropleth/attributes":989}],999:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("../../components/colorscale"),o=t("../../components/drawing"),s=t("../../lib/geojson_utils").makeBlank,l=t("../../lib/geo_location_utils");function c(t){var e,r=t[0].trace,n=r._opts;if(r.selectedpoints){for(var a=o.makeSelectedPointStyleFns(r),s=0;s<t.length;s++){var l=t[s];l.fOut&&(l.fOut.properties.mo2=a.selectedOpacityFn(l))}e={type:"identity",property:"mo2"}}else e=i.isArrayOrTypedArray(r.marker.opacity)?{type:"identity",property:"mo"}:r.marker.opacity;return i.extendFlat(n.fill.paint,{"fill-opacity":e}),i.extendFlat(n.line.paint,{"line-opacity":e}),n}e.exports={convert:function(t){var e=t[0].trace,r=!0===e.visible&&0!==e._length,o={layout:{visibility:"none"},paint:{}},u={layout:{visibility:"none"},paint:{}},f=e._opts={fill:o,line:u,geojson:s()};if(!r)return f;var h=l.extractTraceFeature(t);if(!h)return f;var p,d,g,m=a.makeColorScaleFuncFromTrace(e),v=e.marker,y=v.line||{};i.isArrayOrTypedArray(v.opacity)&&(p=function(t){var e=t.mo;return n(e)?+i.constrain(e,0,1):0}),i.isArrayOrTypedArray(y.color)&&(d=function(t){return t.mlc}),i.isArrayOrTypedArray(y.width)&&(g=function(t){return t.mlw});for(var x=0;x<t.length;x++){var b=t[x],_=b.fOut;if(_){var w=_.properties;w.fc=m(b.z),p&&(w.mo=p(b)),d&&(w.mlc=d(b)),g&&(w.mlw=g(b)),b.ct=w.ct,b._polygons=l.feature2polygons(_)}}var T=p?{type:"identity",property:"mo"}:v.opacity;return i.extendFlat(o.paint,{"fill-color":{type:"identity",property:"fc"},"fill-opacity":T}),i.extendFlat(u.paint,{"line-color":d?{type:"identity",property:"mlc"}:y.color,"line-width":g?{type:"identity",property:"mlw"}:y.width,"line-opacity":T}),o.layout.visibility="visible",u.layout.visibility="visible",f.geojson={type:"FeatureCollection",features:h},c(t),f},convertOnSelect:c}},{"../../components/colorscale":655,"../../components/drawing":665,"../../lib":778,"../../lib/geo_location_utils":771,"../../lib/geojson_utils":772,"fast-isnumeric":241}],1e3:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorscale/defaults"),a=t("./attributes");e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s("locations"),c=s("z"),u=s("geojson");n.isArrayOrTypedArray(l)&&l.length&&n.isArrayOrTypedArray(c)&&c.length&&("string"==typeof u&&""!==u||n.isPlainObject(u))?(s("featureidkey"),e._length=Math.min(l.length,c.length),s("below"),s("text"),s("hovertext"),s("hovertemplate"),s("marker.line.width")&&s("marker.line.color"),s("marker.opacity"),i(t,e,o,s,{prefix:"",cLetter:"z"}),n.coerceSelectionMarkerOpacity(e,s)):e.visible=!1}},{"../../components/colorscale/defaults":653,"../../lib":778,"./attributes":998}],1001:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../heatmap/colorbar"),calc:t("../choropleth/calc"),plot:t("./plot"),hoverPoints:t("../choropleth/hover"),eventData:t("../choropleth/event_data"),selectPoints:t("../choropleth/select"),styleOnSelect:function(t,e){e&&e[0].trace._glTrace.updateOnSelect(e)},getBelow:function(t,e){for(var r=e.getMapLayers(),n=r.length-2;n>=0;n--){var i=r[n].id;if("string"==typeof i&&0===i.indexOf("water"))for(var a=n+1;a<r.length;a++)if("string"==typeof(i=r[a].id)&&-1===i.indexOf("plotly-"))return i}},moduleType:"trace",name:"choroplethmapbox",basePlotModule:t("../../plots/mapbox"),categories:["mapbox","gl","noOpacity","showLegend"],meta:{hr_name:"choropleth_mapbox"}}},{"../../plots/mapbox":885,"../choropleth/calc":990,"../choropleth/event_data":992,"../choropleth/hover":993,"../choropleth/select":996,"../heatmap/colorbar":1068,"./attributes":998,"./defaults":1e3,"./plot":1002}],1002:[function(t,e,r){"use strict";var n=t("./convert").convert,i=t("./convert").convertOnSelect,a=t("../../plots/mapbox/constants").traceLayerPrefix;function o(t,e){this.type="choroplethmapbox",this.subplot=t,this.uid=e,this.sourceId="source-"+e,this.layerList=[["fill",a+e+"-fill"],["line",a+e+"-line"]],this.below=null}var s=o.prototype;s.update=function(t){this._update(n(t))},s.updateOnSelect=function(t){this._update(i(t))},s._update=function(t){var e=this.subplot,r=this.layerList,n=e.belowLookup["trace-"+this.uid];e.map.getSource(this.sourceId).setData(t.geojson),n!==this.below&&(this._removeLayers(),this._addLayers(t,n),this.below=n);for(var i=0;i<r.length;i++){var a=r[i],o=a[0],s=a[1],l=t[o];e.setOptions(s,"setLayoutProperty",l.layout),"visible"===l.layout.visibility&&e.setOptions(s,"setPaintProperty",l.paint)}},s._addLayers=function(t,e){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=t[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},e)}},s._removeLayers=function(){for(var t=this.subplot.map,e=this.layerList,r=e.length-1;r>=0;r--)t.removeLayer(e[r][1])},s.dispose=function(){var t=this.subplot.map;this._removeLayers(),t.removeSource(this.sourceId)},e.exports=function(t,e){var r=e[0].trace,i=new o(t,r.uid),a=i.sourceId,s=n(e),l=i.below=t.belowLookup["trace-"+r.uid];return t.map.addSource(a,{type:"geojson",data:s.geojson}),i._addLayers(s,l),e[0].trace._glTrace=i,i}},{"../../plots/mapbox/constants":883,"./convert":999}],1003:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../../plots/template_attributes").hovertemplateAttrs,a=t("../mesh3d/attributes"),o=t("../../plots/attributes"),s=t("../../lib/extend").extendFlat,l={x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},z:{valType:"data_array",editType:"calc+clearAxisTypes"},u:{valType:"data_array",editType:"calc"},v:{valType:"data_array",editType:"calc"},w:{valType:"data_array",editType:"calc"},sizemode:{valType:"enumerated",values:["scaled","absolute"],editType:"calc",dflt:"scaled"},sizeref:{valType:"number",editType:"calc",min:0},anchor:{valType:"enumerated",editType:"calc",values:["tip","tail","cm","center"],dflt:"cm"},text:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertemplate:i({editType:"calc"},{keys:["norm"]}),showlegend:s({},o.showlegend,{dflt:!1})};s(l,n("",{colorAttr:"u/v/w norm",showScaleDflt:!0,editTypeOverride:"calc"}));["opacity","lightposition","lighting"].forEach((function(t){l[t]=a[t]})),l.hoverinfo=s({},o.hoverinfo,{editType:"calc",flags:["x","y","z","u","v","w","norm","text","name"],dflt:"x+y+z+norm+text+name"}),l.transforms=void 0,e.exports=l},{"../../components/colorscale/attributes":650,"../../lib/extend":768,"../../plots/attributes":824,"../../plots/template_attributes":906,"../mesh3d/attributes":1128}],1004:[function(t,e,r){"use strict";var n=t("../../components/colorscale/calc");e.exports=function(t,e){for(var r=e.u,i=e.v,a=e.w,o=Math.min(e.x.length,e.y.length,e.z.length,r.length,i.length,a.length),s=-1/0,l=1/0,c=0;co.level||o.starts.length&&a===o.level)}break;case"constraint":if(n.prefixBoundary=!1,n.edgepaths.length)return;var s=n.x.length,l=n.y.length,c=-1/0,u=1/0;for(r=0;r":p>c&&(n.prefixBoundary=!0);break;case"<":(pc||n.starts.length&&h===u)&&(n.prefixBoundary=!0);break;case"][":f=Math.min(p[0],p[1]),h=Math.max(p[0],p[1]),fc&&(n.prefixBoundary=!0)}}}},{}],1011:[function(t,e,r){"use strict";var n=t("../../components/colorscale"),i=t("./make_color_map"),a=t("./end_plus");e.exports={min:"zmin",max:"zmax",calc:function(t,e,r){var o=e.contours,s=e.line,l=o.size||1,c=o.coloring,u=i(e,{isColorbar:!0});if("heatmap"===c){var f=n.extractOpts(e);r._fillgradient=f.reversescale?n.flipScale(f.colorscale):f.colorscale,r._zrange=[f.min,f.max]}else"fill"===c&&(r._fillcolor=u);r._line={color:"lines"===c?u:s.color,width:!1!==o.showlines?s.width:0,dash:s.dash},r._levels={start:o.start,end:a(o),size:l}}}},{"../../components/colorscale":655,"./end_plus":1019,"./make_color_map":1024}],1012:[function(t,e,r){"use strict";e.exports={BOTTOMSTART:[1,9,13,104,713],TOPSTART:[4,6,7,104,713],LEFTSTART:[8,12,14,208,1114],RIGHTSTART:[2,3,11,208,1114],NEWDELTA:[null,[-1,0],[0,-1],[-1,0],[1,0],null,[0,-1],[-1,0],[0,1],[0,1],null,[0,1],[1,0],[1,0],[0,-1]],CHOOSESADDLE:{104:[4,1],208:[2,8],713:[7,13],1114:[11,14]},SADDLEREMAINDER:{1:4,2:8,4:1,7:13,8:2,11:14,13:7,14:11},LABELDISTANCE:2,LABELINCREASE:10,LABELMIN:3,LABELMAX:10,LABELOPTIMIZER:{EDGECOST:1,ANGLECOST:1,NEIGHBORCOST:5,SAMELEVELFACTOR:10,SAMELEVELDISTANCE:5,MAXCOST:100,INITIALSEARCHPOINTS:10,ITERATIONS:5}}},{}],1013:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("./label_defaults"),a=t("../../components/color"),o=a.addOpacity,s=a.opacity,l=t("../../constants/filter_ops"),c=l.CONSTRAINT_REDUCTION,u=l.COMPARISON_OPS2;e.exports=function(t,e,r,a,l,f){var h,p,d,g=e.contours,m=r("contours.operation");(g._operation=c[m],function(t,e){var r;-1===u.indexOf(e.operation)?(t("contours.value",[0,1]),Array.isArray(e.value)?e.value.length>2?e.value=e.value.slice(2):0===e.length?e.value=[0,1]:e.length<2?(r=parseFloat(e.value[0]),e.value=[r,r+1]):e.value=[parseFloat(e.value[0]),parseFloat(e.value[1])]:n(e.value)&&(r=parseFloat(e.value),e.value=[r,r+1])):(t("contours.value",0),n(e.value)||(Array.isArray(e.value)?e.value=parseFloat(e.value[0]):e.value=0))}(r,g),"="===m?h=g.showlines=!0:(h=r("contours.showlines"),d=r("fillcolor",o((t.line||{}).color||l,.5))),h)&&(p=r("line.color",d&&s(d)?o(e.fillcolor,1):l),r("line.width",2),r("line.dash"));r("line.smoothing"),i(r,a,p,f)}},{"../../components/color":643,"../../constants/filter_ops":749,"./label_defaults":1023,"fast-isnumeric":241}],1014:[function(t,e,r){"use strict";var n=t("../../constants/filter_ops"),i=t("fast-isnumeric");function a(t,e){var r,a=Array.isArray(e);function o(t){return i(t)?+t:null}return-1!==n.COMPARISON_OPS2.indexOf(t)?r=o(a?e[0]:e):-1!==n.INTERVAL_OPS.indexOf(t)?r=a?[o(e[0]),o(e[1])]:[o(e),o(e)]:-1!==n.SET_OPS.indexOf(t)&&(r=a?e.map(o):[o(e)]),r}function o(t){return function(e){e=a(t,e);var r=Math.min(e[0],e[1]),n=Math.max(e[0],e[1]);return{start:r,end:n,size:n-r}}}function s(t){return function(e){return{start:e=a(t,e),end:1/0,size:1/0}}}e.exports={"[]":o("[]"),"][":o("]["),">":s(">"),"<":s("<"),"=":s("=")}},{"../../constants/filter_ops":749,"fast-isnumeric":241}],1015:[function(t,e,r){"use strict";e.exports=function(t,e,r,n){var i=n("contours.start"),a=n("contours.end"),o=!1===i||!1===a,s=r("contours.size");!(o?e.autocontour=!0:r("autocontour",!1))&&s||r("ncontours")}},{}],1016:[function(t,e,r){"use strict";var n=t("../../lib");function i(t){return n.extendFlat({},t,{edgepaths:n.extendDeep([],t.edgepaths),paths:n.extendDeep([],t.paths),starts:n.extendDeep([],t.starts)})}e.exports=function(t,e){var r,a,o,s=function(t){return t.reverse()},l=function(t){return t};switch(e){case"=":case"<":return t;case">":for(1!==t.length&&n.warn("Contour data invalid for the specified inequality operation."),a=t[0],r=0;r1e3){n.warn("Too many contours, clipping at 1000",t);break}return l}},{"../../lib":778,"./constraint_mapping":1014,"./end_plus":1019}],1019:[function(t,e,r){"use strict";e.exports=function(t){return t.end+t.size/1e6}},{}],1020:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./constants");function a(t,e,r,n){return Math.abs(t[0]-e[0])20&&e?208===t||1114===t?n=0===r[0]?1:-1:a=0===r[1]?1:-1:-1!==i.BOTTOMSTART.indexOf(t)?a=1:-1!==i.LEFTSTART.indexOf(t)?n=1:-1!==i.TOPSTART.indexOf(t)?a=-1:n=-1;return[n,a]}(f,r,e),p=[s(t,e,[-h[0],-h[1]])],d=t.z.length,g=t.z[0].length,m=e.slice(),v=h.slice();for(c=0;c<1e4;c++){if(f>20?(f=i.CHOOSESADDLE[f][(h[0]||h[1])<0?0:1],t.crossings[u]=i.SADDLEREMAINDER[f]):delete t.crossings[u],!(h=i.NEWDELTA[f])){n.log("Found bad marching index:",f,e,t.level);break}p.push(s(t,e,h)),e[0]+=h[0],e[1]+=h[1],u=e.join(","),a(p[p.length-1],p[p.length-2],o,l)&&p.pop();var y=h[0]&&(e[0]<0||e[0]>g-2)||h[1]&&(e[1]<0||e[1]>d-2);if(e[0]===m[0]&&e[1]===m[1]&&h[0]===v[0]&&h[1]===v[1]||r&&y)break;f=t.crossings[u]}1e4===c&&n.log("Infinite loop in contour?");var x,b,_,w,T,k,M,A,S,E,C,L,I,P,z,O=a(p[0],p[p.length-1],o,l),D=0,R=.2*t.smoothing,F=[],B=0;for(c=1;c=B;c--)if((x=F[c])=B&&x+F[b]A&&S--,t.edgepaths[S]=C.concat(p,E));break}V||(t.edgepaths[A]=p.concat(E))}for(A=0;At?0:1)+(e[0][1]>t?0:2)+(e[1][1]>t?0:4)+(e[1][0]>t?0:8);return 5===r||10===r?t>(e[0][0]+e[0][1]+e[1][0]+e[1][1])/4?5===r?713:1114:5===r?104:208:15===r?0:r}e.exports=function(t){var e,r,a,o,s,l,c,u,f,h=t[0].z,p=h.length,d=h[0].length,g=2===p||2===d;for(r=0;r<p-1;r++)for(o=[],0===r&&(o=o.concat(n.BOTTOMSTART)),r===p-2&&(o=o.concat(n.TOPSTART)),e=0;e<d-1;e++)for(a=o.slice(),0===e&&(a=a.concat(n.LEFTSTART)),e===d-2&&(a=a.concat(n.RIGHTSTART)),s=e+","+r,l=[[h[r][e],h[r][e+1]],[h[r+1][e],h[r+1][e+1]]],f=0;f<t.length;f++)(c=i((u=t[f]).level,l))&&(u.crossings[s]=c,-1!==a.indexOf(c)&&(u.starts.push([e,r]),g&&-1!==a.indexOf(c,a.indexOf(c)+1)&&u.starts.push([e,r])))}},{"./constants":1012}],1026:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../lib"),a=t("../../components/drawing"),o=t("../../components/colorscale"),s=t("../../lib/svg_text_utils"),l=t("../../plots/cartesian/axes"),c=t("../../plots/cartesian/set_convert"),u=t("../heatmap/plot"),f=t("./make_crossings"),h=t("./find_all_paths"),p=t("./empty_pathinfo"),d=t("./convert_to_constraints"),g=t("./close_boundaries"),m=t("./constants"),v=m.LABELOPTIMIZER;function y(t,e){var r,n,o,s,l,c,u,f="",h=0,p=t.edgepaths.map((function(t,e){return e})),d=!0;function g(t){return Math.abs(t[1]-e[2][1])<.01}function m(t){return Math.abs(t[0]-e[0][0])<.01}function v(t){return Math.abs(t[0]-e[2][0])<.01}for(;p.length;){for(c=a.smoothopen(t.edgepaths[h],t.smoothing),f+=d?c:c.replace(/^M/,"L"),p.splice(p.indexOf(h),1),r=t.edgepaths[h][t.edgepaths[h].length-1],s=-1,o=0;o<4;o++){if(!r){i.log("Missing end?",h,t);break}for(u=r,Math.abs(u[1]-e[0][1])<.01&&!v(r)?n=e[1]:m(r)?n=e[0]:g(r)?n=e[3]:v(r)&&(n=e[2]),l=0;l<t.edgepaths.length;l++){var y=t.edgepaths[l][0];Math.abs(r[0]-n[0])<.01?Math.abs(r[0]-y[0])<.01&&(y[1]-r[1])*(n[1]-y[1])>=0&&(n=y,s=l):Math.abs(r[1]-n[1])<.01?Math.abs(r[1]-y[1])<.01&&(y[0]-r[0])*(n[0]-y[0])>=0&&(n=y,s=l):i.log("endpt to newendpt is not vert. or horz.",r,n,y)}if(r=n,s>=0)break;f+="L"+n}if(s===t.edgepaths.length){i.log("unclosed perimeter path");break}h=s,(d=-1===p.indexOf(h))&&(h=p[0],f+="Z")}for(h=0;hn.center?n.right-s:s-n.left)/(u+Math.abs(Math.sin(c)*o)),p=(l>n.middle?n.bottom-l:l-n.top)/(Math.abs(f)+Math.cos(c)*o);if(h<1||p<1)return 1/0;var d=v.EDGECOST*(1/(h-1)+1/(p-1));d+=v.ANGLECOST*c*c;for(var g=s-u,m=l-f,y=s+u,x=l+f,b=0;b2*v.MAXCOST)break;p&&(s/=2),l=(o=c-s/2)+1.5*s}if(h<=v.MAXCOST)return u},r.addLabelData=function(t,e,r,n){var i=e.fontSize,a=e.width+i/3,o=Math.max(0,e.height-i/3),s=t.x,l=t.y,c=t.theta,u=Math.sin(c),f=Math.cos(c),h=function(t,e){return[s+t*f-e*u,l+t*u+e*f]},p=[h(-a/2,-o/2),h(-a/2,o/2),h(a/2,o/2),h(a/2,-o/2)];r.push({text:e.text,x:s,y:l,dy:e.dy,theta:c,level:e.level,width:a,height:o}),n.push(p)},r.drawLabels=function(t,e,r,a,o){var l=t.selectAll("text").data(e,(function(t){return t.text+","+t.x+","+t.y+","+t.theta}));if(l.exit().remove(),l.enter().append("text").attr({"data-notex":1,"text-anchor":"middle"}).each((function(t){var e=t.x+Math.sin(t.theta)*t.dy,i=t.y-Math.cos(t.theta)*t.dy;n.select(this).text(t.text).attr({x:e,y:i,transform:"rotate("+180*t.theta/Math.PI+" "+e+" "+i+")"}).call(s.convertToTspans,r)})),o){for(var c="",u=0;ur.end&&(r.start=r.end=(r.start+r.end)/2),t._input.contours||(t._input.contours={}),i.extendFlat(t._input.contours,{start:r.start,end:r.end,size:r.size}),t._input.autocontour=!0}else if("constraint"!==r.type){var c,u=r.start,f=r.end,h=t._input.contours;if(u>f&&(r.start=h.start=f,f=r.end=h.end=u,u=r.start),!(r.size>0))c=u===f?1:a(u,f,t.ncontours).dtick,h.size=r.size=c}}},{"../../lib":778,"../../plots/cartesian/axes":828}],1028:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../components/drawing"),a=t("../heatmap/style"),o=t("./make_color_map");e.exports=function(t){var e=n.select(t).selectAll("g.contour");e.style("opacity",(function(t){return t[0].trace.opacity})),e.each((function(t){var e=n.select(this),r=t[0].trace,a=r.contours,s=r.line,l=a.size||1,c=a.start,u="constraint"===a.type,f=!u&&"lines"===a.coloring,h=!u&&"fill"===a.coloring,p=f||h?o(r):null;e.selectAll("g.contourlevel").each((function(t){n.select(this).selectAll("path").call(i.lineGroupStyle,s.width,f?p(t.level):s.color,s.dash)}));var d=a.labelfont;if(e.selectAll("g.contourlabels text").each((function(t){i.font(n.select(this),{family:d.family,size:d.size,color:d.color||(f?p(t.level):s.color)})})),u)e.selectAll("g.contourfill path").style("fill",r.fillcolor);else if(h){var g;e.selectAll("g.contourfill path").style("fill",(function(t){return void 0===g&&(g=t.level),p(t.level+.5*l)})),void 0===g&&(g=c),e.selectAll("g.contourbg path").style("fill",p(g-.5*l))}})),a(t)}},{"../../components/drawing":665,"../heatmap/style":1077,"./make_color_map":1024,d3:169}],1029:[function(t,e,r){"use strict";var n=t("../../components/colorscale/defaults"),i=t("./label_defaults");e.exports=function(t,e,r,a,o){var s,l=r("contours.coloring"),c="";"fill"===l&&(s=r("contours.showlines")),!1!==s&&("lines"!==l&&(c=r("line.color","#000")),r("line.width",.5),r("line.dash")),"none"!==l&&(!0!==t.showlegend&&(e.showlegend=!1),e._dfltShowLegend=!1,n(t,e,a,r,{prefix:"",cLetter:"z"})),r("line.smoothing"),i(r,a,c,o)}},{"../../components/colorscale/defaults":653,"./label_defaults":1023}],1030:[function(t,e,r){"use strict";var n=t("../heatmap/attributes"),i=t("../contour/attributes"),a=t("../../components/colorscale/attributes"),o=t("../../lib/extend").extendFlat,s=i.contours;e.exports=o({carpet:{valType:"string",editType:"calc"},z:n.z,a:n.x,a0:n.x0,da:n.dx,b:n.y,b0:n.y0,db:n.dy,text:n.text,hovertext:n.hovertext,transpose:n.transpose,atype:n.xtype,btype:n.ytype,fillcolor:i.fillcolor,autocontour:i.autocontour,ncontours:i.ncontours,contours:{type:s.type,start:s.start,end:s.end,size:s.size,coloring:{valType:"enumerated",values:["fill","lines","none"],dflt:"fill",editType:"calc"},showlines:s.showlines,showlabels:s.showlabels,labelfont:s.labelfont,labelformat:s.labelformat,operation:s.operation,value:s.value,editType:"calc",impliedEdits:{autocontour:!1}},line:{color:i.line.color,width:i.line.width,dash:i.line.dash,smoothing:i.line.smoothing,editType:"plot"},transforms:void 0},a("",{cLetter:"z",autoColorDflt:!1}))},{"../../components/colorscale/attributes":650,"../../lib/extend":768,"../contour/attributes":1008,"../heatmap/attributes":1065}],1031:[function(t,e,r){"use strict";var n=t("../../components/colorscale/calc"),i=t("../../lib"),a=t("../heatmap/convert_column_xyz"),o=t("../heatmap/clean_2d_array"),s=t("../heatmap/interp2d"),l=t("../heatmap/find_empties"),c=t("../heatmap/make_bound_array"),u=t("./defaults"),f=t("../carpet/lookup_carpetid"),h=t("../contour/set_contours");e.exports=function(t,e){var r=e._carpetTrace=f(t,e);if(r&&r.visible&&"legendonly"!==r.visible){if(!e.a||!e.b){var p=t.data[r.index],d=t.data[e.index];d.a||(d.a=p.a),d.b||(d.b=p.b),u(d,e,e._defaultColor,t._fullLayout)}var g=function(t,e){var r,u,f,h,p,d,g,m=e._carpetTrace,v=m.aaxis,y=m.baxis;v._minDtick=0,y._minDtick=0,i.isArray1D(e.z)&&a(e,v,y,"a","b",["z"]);r=e._a=e._a||e.a,h=e._b=e._b||e.b,r=r?v.makeCalcdata(e,"_a"):[],h=h?y.makeCalcdata(e,"_b"):[],u=e.a0||0,f=e.da||1,p=e.b0||0,d=e.db||1,g=e._z=o(e._z||e.z,e.transpose),e._emptypoints=l(g),s(g,e._emptypoints);var x=i.maxRowLength(g),b="scaled"===e.xtype?"":r,_=c(e,b,u,f,x,v),w="scaled"===e.ytype?"":h,T=c(e,w,p,d,g.length,y),k={a:_,b:T,z:g};"levels"===e.contours.type&&"none"!==e.contours.coloring&&n(t,e,{vals:g,containerStr:"",cLetter:"z"});return[k]}(t,e);return h(e,e._z),g}}},{"../../components/colorscale/calc":651,"../../lib":778,"../carpet/lookup_carpetid":981,"../contour/set_contours":1027,"../heatmap/clean_2d_array":1067,"../heatmap/convert_column_xyz":1069,"../heatmap/find_empties":1071,"../heatmap/interp2d":1074,"../heatmap/make_bound_array":1075,"./defaults":1032}],1032:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../heatmap/xyz_defaults"),a=t("./attributes"),o=t("../contour/constraint_defaults"),s=t("../contour/contours_defaults"),l=t("../contour/style_defaults");e.exports=function(t,e,r,c){function u(r,i){return n.coerce(t,e,a,r,i)}if(u("carpet"),t.a&&t.b){if(!i(t,e,u,c,"a","b"))return void(e.visible=!1);u("text"),"constraint"===u("contours.type")?o(t,e,u,c,r,{hasHover:!1}):(s(t,e,u,(function(r){return n.coerce2(t,e,a,r)})),l(t,e,u,c,{hasHover:!1}))}else e._defaultColor=r,e._length=null}},{"../../lib":778,"../contour/constraint_defaults":1013,"../contour/contours_defaults":1015,"../contour/style_defaults":1029,"../heatmap/xyz_defaults":1079,"./attributes":1030}],1033:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../contour/colorbar"),calc:t("./calc"),plot:t("./plot"),style:t("../contour/style"),moduleType:"trace",name:"contourcarpet",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","carpet","contour","symbols","showLegend","hasLines","carpetDependent","noHover","noSortingByValue"],meta:{}}},{"../../plots/cartesian":841,"../contour/colorbar":1011,"../contour/style":1028,"./attributes":1030,"./calc":1031,"./defaults":1032,"./plot":1034}],1034:[function(t,e,r){"use strict";var n=t("d3"),i=t("../carpet/map_1d_array"),a=t("../carpet/makepath"),o=t("../../components/drawing"),s=t("../../lib"),l=t("../contour/make_crossings"),c=t("../contour/find_all_paths"),u=t("../contour/plot"),f=t("../contour/constants"),h=t("../contour/convert_to_constraints"),p=t("../contour/empty_pathinfo"),d=t("../contour/close_boundaries"),g=t("../carpet/lookup_carpetid"),m=t("../carpet/axis_aligned_line");function v(t,e,r){var n=t.getPointAtLength(e),i=t.getPointAtLength(r),a=i.x-n.x,o=i.y-n.y,s=Math.sqrt(a*a+o*o);return[a/s,o/s]}function y(t){var e=Math.sqrt(t[0]*t[0]+t[1]*t[1]);return[t[0]/e,t[1]/e]}function x(t,e){var r=Math.abs(t[0]*e[0]+t[1]*e[1]);return Math.sqrt(1-r*r)/r}e.exports=function(t,e,r,b){var _=e.xaxis,w=e.yaxis;s.makeTraceGroups(b,r,"contour").each((function(r){var b=n.select(this),T=r[0],k=T.trace,M=k._carpetTrace=g(t,k),A=t.calcdata[M.index][0];if(M.visible&&"legendonly"!==M.visible){var S=T.a,E=T.b,C=k.contours,L=p(C,e,T),I="constraint"===C.type,P=C._operation,z=I?"="===P?"lines":"fill":C.coloring,O=[[S[0],E[E.length-1]],[S[S.length-1],E[E.length-1]],[S[S.length-1],E[0]],[S[0],E[0]]];l(L);var D=1e-8*(S[S.length-1]-S[0]),R=1e-8*(E[E.length-1]-E[0]);c(L,D,R);var F,B,N,j,U=L;"constraint"===C.type&&(U=h(L,P)),function(t,e){var r,n,i,a,o,s,l,c,u;for(r=0;r=0;j--)F=A.clipsegments[j],B=i([],F.x,_.c2p),N=i([],F.y,w.c2p),B.reverse(),N.reverse(),V.push(a(B,N,F.bicubic));var q="M"+V.join("L")+"Z";!function(t,e,r,n,o,l){var c,u,f,h,p=s.ensureSingle(t,"g","contourbg").selectAll("path").data("fill"!==l||o?[]:[0]);p.enter().append("path"),p.exit().remove();var d=[];for(h=0;h<e.length;h++)c=e[h],u=i([],c.x,r.c2p),f=i([],c.y,n.c2p),d.push(a(u,f,c.bicubic));p.attr("d","M"+d.join("L")+"Z").style("stroke","none")}(b,A.clipsegments,_,w,I,z),function(t,e,r,i,a,l,c,u,f,h,p){var g="fill"===h;g&&d(a,t.contours);var v=s.ensureSingle(e,"g","contourfill").selectAll("path").data(g?a:[]);v.enter().append("path"),v.exit().remove(),v.each((function(t){var e=(t.prefixBoundary?p:"")+function(t,e,r,n,i,a,l,c){var u,f,h,p,d,g,v,y="",x=e.edgepaths.map((function(t,e){return e})),b=!0,_=1e-4*Math.abs(r[0][0]-r[2][0]),w=1e-4*Math.abs(r[0][1]-r[2][1]);function T(t){return Math.abs(t[1]-r[0][1])<w}function k(t){return Math.abs(t[1]-r[2][1])<w}function M(t){return Math.abs(t[0]-r[0][0])<_}function A(t){return Math.abs(t[0]-r[2][0])<_}function S(t,e){var r,n,o,s,u="";for(T(t)&&!A(t)||k(t)&&!M(t)?(s=i.aaxis,o=m(i,a,[t[0],e[0]],.5*(t[1]+e[1]))):(s=i.baxis,o=m(i,a,.5*(t[0]+e[0]),[t[1],e[1]])),r=1;r<o.length;r++)for(u+=s.smoothing?"C":"L",n=0;n<o[r].length;n++){var f=o[r][n];u+=[l.c2p(f[0]),c.c2p(f[1])]+" "}return u}u=0,f=null;for(;x.length;){var E=e.edgepaths[u][0];for(f&&(y+=S(f,E)),v=o.smoothopen(e.edgepaths[u].map(n),e.smoothing),y+=b?v:v.replace(/^M/,"L"),x.splice(x.indexOf(u),1),f=e.edgepaths[u][e.edgepaths[u].length-1],d=-1,p=0;p<4;p++){if(!f){s.log("Missing end?",u,e);break}for(T(f)&&!A(f)?h=r[1]:M(f)?h=r[0]:k(f)?h=r[3]:A(f)&&(h=r[2]),g=0;g<e.edgepaths.length;g++){var C=e.edgepaths[g][0];Math.abs(f[0]-h[0])<_?Math.abs(f[0]-C[0])<_&&(C[1]-f[1])*(h[1]-C[1])>=0&&(h=C,d=g):Math.abs(f[1]-h[1])=0&&(h=C,d=g):s.log("endpt to newendpt is not vert. or horz.",f,h,C)}if(d>=0)break;y+=S(f,h),f=h}if(d===e.edgepaths.length){s.log("unclosed perimeter path");break}u=d,(b=-1===x.indexOf(u))&&(u=x[0],y+=S(f,h)+"Z",f=null)}for(u=0;um&&(n.max=m);n.len=n.max-n.min}(this,r,t,n,c,e.height),!(n.len<(e.width+e.height)*f.LABELMIN)))for(var i=Math.min(Math.ceil(n.len/P),f.LABELMAX),a=0;a0?+p[u]:0),f.push({type:"Feature",geometry:{type:"Point",coordinates:v},properties:y})}}var b=o.extractOpts(e),_=b.reversescale?o.flipScale(b.colorscale):b.colorscale,w=_[0][1],T=["interpolate",["linear"],["heatmap-density"],0,a.opacity(w)<1?w:a.addOpacity(w,0)];for(u=1;u<_.length;u++)T.push(_[u][0],_[u][1]);var k=["interpolate",["linear"],["get","z"],b.min,0,b.max,1];return i.extendFlat(c.heatmap.paint,{"heatmap-weight":d?k:1/(b.max-b.min),"heatmap-color":T,"heatmap-radius":g?{type:"identity",property:"r"}:e.radius,"heatmap-opacity":e.opacity}),c.geojson={type:"FeatureCollection",features:f},c.heatmap.layout.visibility="visible",c}},{"../../components/color":643,"../../components/colorscale":655,"../../constants/numerical":753,"../../lib":778,"../../lib/geojson_utils":772,"fast-isnumeric":241}],1038:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorscale/defaults"),a=t("./attributes");e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s("lon")||[],c=s("lat")||[],u=Math.min(l.length,c.length);u?(e._length=u,s("z"),s("radius"),s("below"),s("text"),s("hovertext"),s("hovertemplate"),i(t,e,o,s,{prefix:"",cLetter:"z"})):e.visible=!1}},{"../../components/colorscale/defaults":653,"../../lib":778,"./attributes":1035}],1039:[function(t,e,r){"use strict";e.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t.z=e.z,t}},{}],1040:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axes"),a=t("../scattermapbox/hover");e.exports=function(t,e,r){var o=a(t,e,r);if(o){var s=o[0],l=s.cd,c=l[0].trace,u=l[s.index];if(delete s.color,"z"in u){var f=s.subplot.mockAxis;s.z=u.z,s.zLabel=i.tickText(f,f.c2l(u.z),"hover").text}return s.extraText=function(t,e,r){if(t.hovertemplate)return;var i=(e.hi||t.hoverinfo).split("+"),a=-1!==i.indexOf("all"),o=-1!==i.indexOf("lon"),s=-1!==i.indexOf("lat"),l=e.lonlat,c=[];function u(t){return t+"\xb0"}a||o&&s?c.push("("+u(l[0])+", "+u(l[1])+")"):o?c.push(r.lon+u(l[0])):s&&c.push(r.lat+u(l[1]));(a||-1!==i.indexOf("text"))&&n.fillText(e,t,c);return c.join("
")}(c,u,l[0].t.labels),[s]}}},{"../../lib":778,"../../plots/cartesian/axes":828,"../scattermapbox/hover":1257}],1041:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../heatmap/colorbar"),formatLabels:t("../scattermapbox/format_labels"),calc:t("./calc"),plot:t("./plot"),hoverPoints:t("./hover"),eventData:t("./event_data"),getBelow:function(t,e){for(var r=e.getMapLayers(),n=0;n<r.length;n++){var i=r[n],a=i.id;if("symbol"===i.type&&"string"==typeof a&&-1===a.indexOf("plotly-"))return a}},moduleType:"trace",name:"densitymapbox",basePlotModule:t("../../plots/mapbox"),categories:["mapbox","gl","showLegend"],meta:{hr_name:"density_mapbox"}}},{"../../plots/mapbox":885,"../heatmap/colorbar":1068,"../scattermapbox/format_labels":1256,"./attributes":1035,"./calc":1036,"./defaults":1038,"./event_data":1039,"./hover":1040,"./plot":1042}],1042:[function(t,e,r){"use strict";var n=t("./convert"),i=t("../../plots/mapbox/constants").traceLayerPrefix;function a(t,e){this.type="densitymapbox",this.subplot=t,this.uid=e,this.sourceId="source-"+e,this.layerList=[["heatmap",i+e+"-heatmap"]],this.below=null}var o=a.prototype;o.update=function(t){var e=this.subplot,r=this.layerList,i=n(t),a=e.belowLookup["trace-"+this.uid];e.map.getSource(this.sourceId).setData(i.geojson),a!==this.below&&(this._removeLayers(),this._addLayers(i,a),this.below=a);for(var o=0;o<r.length;o++){var s=r[o],l=s[0],c=s[1],u=i[l];e.setOptions(c,"setLayoutProperty",u.layout),"visible"===u.layout.visibility&&e.setOptions(c,"setPaintProperty",u.paint)}},o._addLayers=function(t,e){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=t[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},e)}},o._removeLayers=function(){for(var t=this.subplot.map,e=this.layerList,r=e.length-1;r>=0;r--)t.removeLayer(e[r][1])},o.dispose=function(){var t=this.subplot.map;this._removeLayers(),t.removeSource(this.sourceId)},e.exports=function(t,e){var r=e[0].trace,i=new a(t,r.uid),o=i.sourceId,s=n(e),l=i.below=t.belowLookup["trace-"+r.uid];return t.map.addSource(o,{type:"geojson",data:s.geojson}),i._addLayers(s,l),i}},{"../../plots/mapbox/constants":883,"./convert":1037}],1043:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e){for(var r=0;r"),s.color=function(t,e){var r=t.marker,i=e.mc||r.color,a=e.mlc||r.line.color,o=e.mlw||r.line.width;if(n(i))return i;if(n(a)&&o)return a}(c,f),[s]}}},{"../../components/color":643,"../../lib":778,"../bar/hover":928}],1051:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),layoutAttributes:t("./layout_attributes"),supplyDefaults:t("./defaults").supplyDefaults,crossTraceDefaults:t("./defaults").crossTraceDefaults,supplyLayoutDefaults:t("./layout_defaults"),calc:t("./calc"),crossTraceCalc:t("./cross_trace_calc"),plot:t("./plot"),style:t("./style").style,hoverPoints:t("./hover"),eventData:t("./event_data"),selectPoints:t("../bar/select"),moduleType:"trace",name:"funnel",basePlotModule:t("../../plots/cartesian"),categories:["bar-like","cartesian","svg","oriented","showLegend","zoomScale"],meta:{}}},{"../../plots/cartesian":841,"../bar/select":933,"./attributes":1044,"./calc":1045,"./cross_trace_calc":1047,"./defaults":1048,"./event_data":1049,"./hover":1050,"./layout_attributes":1052,"./layout_defaults":1053,"./plot":1054,"./style":1055}],1052:[function(t,e,r){"use strict";e.exports={funnelmode:{valType:"enumerated",values:["stack","group","overlay"],dflt:"stack",editType:"calc"},funnelgap:{valType:"number",min:0,max:1,editType:"calc"},funnelgroupgap:{valType:"number",min:0,max:1,dflt:0,editType:"calc"}}},{}],1053:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e,r){var a=!1;function o(r,a){return n.coerce(t,e,i,r,a)}for(var s=0;s path").each((function(t){if(!t.isBlank){var e=s.marker;n.select(this).call(a.fill,t.mc||e.color).call(a.stroke,t.mlc||e.line.color).call(i.dashLine,e.line.dash,t.mlw||e.line.width).style("opacity",s.selectedpoints&&!t.selected?o:1)}})),c(r,s,t),r.selectAll(".regions").each((function(){n.select(this).selectAll("path").style("stroke-width",0).call(a.fill,s.connector.fillcolor)})),r.selectAll(".lines").each((function(){var t=s.connector.line;i.lineGroupStyle(n.select(this).selectAll("path"),t.width,t.color,t.dash)}))}))}}},{"../../components/color":643,"../../components/drawing":665,"../../constants/interactions":752,"../bar/style":935,"../bar/uniform_text":937,d3:169}],1056:[function(t,e,r){"use strict";var n=t("../pie/attributes"),i=t("../../plots/attributes"),a=t("../../plots/domain").attributes,o=t("../../plots/template_attributes").hovertemplateAttrs,s=t("../../plots/template_attributes").texttemplateAttrs,l=t("../../lib/extend").extendFlat;e.exports={labels:n.labels,label0:n.label0,dlabel:n.dlabel,values:n.values,marker:{colors:n.marker.colors,line:{color:l({},n.marker.line.color,{dflt:null}),width:l({},n.marker.line.width,{dflt:1}),editType:"calc"},editType:"calc"},text:n.text,hovertext:n.hovertext,scalegroup:l({},n.scalegroup,{}),textinfo:l({},n.textinfo,{flags:["label","text","value","percent"]}),texttemplate:s({editType:"plot"},{keys:["label","color","value","text","percent"]}),hoverinfo:l({},i.hoverinfo,{flags:["label","text","value","percent","name"]}),hovertemplate:o({},{keys:["label","color","value","text","percent"]}),textposition:l({},n.textposition,{values:["inside","none"],dflt:"inside"}),textfont:n.textfont,insidetextfont:n.insidetextfont,title:{text:n.title.text,font:n.title.font,position:l({},n.title.position,{values:["top left","top center","top right"],dflt:"top center"}),editType:"plot"},domain:a({name:"funnelarea",trace:!0,editType:"calc"}),aspectratio:{valType:"number",min:0,dflt:1,editType:"plot"},baseratio:{valType:"number",min:0,max:1,dflt:.333,editType:"plot"}}},{"../../lib/extend":768,"../../plots/attributes":824,"../../plots/domain":855,"../../plots/template_attributes":906,"../pie/attributes":1161}],1057:[function(t,e,r){"use strict";var n=t("../../plots/plots");r.name="funnelarea",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{"../../plots/plots":891}],1058:[function(t,e,r){"use strict";var n=t("../pie/calc");e.exports={calc:function(t,e){return n.calc(t,e)},crossTraceCalc:function(t){n.crossTraceCalc(t,{type:"funnelarea"})}}},{"../pie/calc":1163}],1059:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("../../plots/domain").defaults,o=t("../bar/defaults").handleText,s=t("../pie/defaults").handleLabelsAndValues;e.exports=function(t,e,r,l){function c(r,a){return n.coerce(t,e,i,r,a)}var u=c("labels"),f=c("values"),h=s(u,f),p=h.len;if(e._hasLabels=h.hasLabels,e._hasValues=h.hasValues,!e._hasLabels&&e._hasValues&&(c("label0"),c("dlabel")),p){e._length=p,c("marker.line.width")&&c("marker.line.color",l.paper_bgcolor),c("marker.colors"),c("scalegroup");var d,g=c("text"),m=c("texttemplate");if(m||(d=c("textinfo",Array.isArray(g)?"text+percent":"percent")),c("hovertext"),c("hovertemplate"),m||d&&"none"!==d){var v=c("textposition");o(t,e,l,c,v,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1})}a(e,l,c),c("title.text")&&(c("title.position"),n.coerceFont(c,"title.font",l.font)),c("aspectratio"),c("baseratio")}else e.visible=!1}},{"../../lib":778,"../../plots/domain":855,"../bar/defaults":925,"../pie/defaults":1164,"./attributes":1056}],1060:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"funnelarea",basePlotModule:t("./base_plot"),categories:["pie-like","funnelarea","showLegend"],attributes:t("./attributes"),layoutAttributes:t("./layout_attributes"),supplyDefaults:t("./defaults"),supplyLayoutDefaults:t("./layout_defaults"),calc:t("./calc").calc,crossTraceCalc:t("./calc").crossTraceCalc,plot:t("./plot"),style:t("./style"),styleOne:t("../pie/style_one"),meta:{}}},{"../pie/style_one":1172,"./attributes":1056,"./base_plot":1057,"./calc":1058,"./defaults":1059,"./layout_attributes":1061,"./layout_defaults":1062,"./plot":1063,"./style":1064}],1061:[function(t,e,r){"use strict";var n=t("../pie/layout_attributes").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:"colorlist",editType:"calc"},extendfunnelareacolors:{valType:"boolean",dflt:!0,editType:"calc"}}},{"../pie/layout_attributes":1168}],1062:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r("hiddenlabels"),r("funnelareacolorway",e.colorway),r("extendfunnelareacolors")}},{"../../lib":778,"./layout_attributes":1061}],1063:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../components/drawing"),a=t("../../lib"),o=a.strScale,s=a.strTranslate,l=t("../../lib/svg_text_utils"),c=t("../bar/plot").toMoveInsideBar,u=t("../bar/uniform_text"),f=u.recordMinTextSize,h=u.clearMinTextSize,p=t("../pie/helpers"),d=t("../pie/plot"),g=d.attachFxHandlers,m=d.determineInsideTextFont,v=d.layoutAreas,y=d.prerenderTitles,x=d.positionTitleOutside,b=d.formatSliceLabel;function _(t,e){return"l"+(e[0]-t[0])+","+(e[1]-t[1])}e.exports=function(t,e){var r=t._fullLayout;h("funnelarea",r),y(e,t),v(e,r._size),a.makeTraceGroups(r._funnelarealayer,e,"trace").each((function(e){var u=n.select(this),h=e[0],d=h.trace;!function(t){if(!t.length)return;var e=t[0],r=e.trace,n=r.aspectratio,i=r.baseratio;i>.999&&(i=.999);var a,o=Math.pow(i,2),s=e.vTotal,l=s,c=s*o/(1-o)/s;function u(){var t,e={x:t=Math.sqrt(c),y:-t};return[e.x,e.y]}var f,h,p=[];for(p.push(u()),f=t.length-1;f>-1;f--)if(!(h=t[f]).hidden){var d=h.v/l;c+=d,p.push(u())}var g=1/0,m=-1/0;for(f=0;f-1;f--)if(!(h=t[f]).hidden){var M=p[k+=1][0],A=p[k][1];h.TL=[-M,A],h.TR=[M,A],h.BL=w,h.BR=T,h.pxmid=(S=h.TR,E=h.BR,[.5*(S[0]+E[0]),.5*(S[1]+E[1])]),w=h.TL,T=h.TR}var S,E}(e),u.each((function(){var u=n.select(this).selectAll("g.slice").data(e);u.enter().append("g").classed("slice",!0),u.exit().remove(),u.each((function(o,s){if(o.hidden)n.select(this).selectAll("path,g").remove();else{o.pointNumber=o.i,o.curveNumber=d.index;var u=h.cx,v=h.cy,y=n.select(this),x=y.selectAll("path.surface").data([o]);x.enter().append("path").classed("surface",!0).style({"pointer-events":"all"}),y.call(g,t,e);var w="M"+(u+o.TR[0])+","+(v+o.TR[1])+_(o.TR,o.BR)+_(o.BR,o.BL)+_(o.BL,o.TL)+"Z";x.attr("d",w),b(t,o,h);var T=p.castOption(d.textposition,o.pts),k=y.selectAll("g.slicetext").data(o.text&&"none"!==T?[0]:[]);k.enter().append("g").classed("slicetext",!0),k.exit().remove(),k.each((function(){var h=a.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),p=a.ensureUniformFontSize(t,m(d,o,r.font));h.text(o.text).attr({class:"slicetext",transform:"","text-anchor":"middle"}).call(i.font,p).call(l.convertToTspans,t);var g,y,x,b=i.bBox(h.node()),_=Math.min(o.BL[1],o.BR[1])+v,w=Math.max(o.TL[1],o.TR[1])+v;y=Math.max(o.TL[0],o.BL[0])+u,x=Math.min(o.TR[0],o.BR[0])+u,(g=c(y,x,_,w,b,{isHorizontal:!0,constrained:!0,angle:0,anchor:"middle"})).fontSize=p.size,f(d.type,g,r),e[s].transform=g,h.attr("transform",a.getTextTransform(g))}))}}));var v=n.select(this).selectAll("g.titletext").data(d.title.text?[0]:[]);v.enter().append("g").classed("titletext",!0),v.exit().remove(),v.each((function(){var e=a.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),c=d.title.text;d._meta&&(c=a.templateString(c,d._meta)),e.text(c).attr({class:"titletext",transform:"","text-anchor":"middle"}).call(i.font,d.title.font).call(l.convertToTspans,t);var u=x(h,r._size);e.attr("transform",s(u.x,u.y)+o(Math.min(1,u.scale))+s(u.tx,u.ty))}))}))}))}},{"../../components/drawing":665,"../../lib":778,"../../lib/svg_text_utils":803,"../bar/plot":932,"../bar/uniform_text":937,"../pie/helpers":1166,"../pie/plot":1170,d3:169}],1064:[function(t,e,r){"use strict";var n=t("d3"),i=t("../pie/style_one"),a=t("../bar/uniform_text").resizeText;e.exports=function(t){var e=t._fullLayout._funnelarealayer.selectAll(".trace");a(t,e,"funnelarea"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll("path.surface").each((function(t){n.select(this).call(i,t,e)}))}))}},{"../bar/uniform_text":937,"../pie/style_one":1172,d3:169}],1065:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../../plots/attributes"),a=t("../../plots/template_attributes").hovertemplateAttrs,o=t("../../components/colorscale/attributes"),s=(t("../../constants/docs").FORMAT_LINK,t("../../lib/extend").extendFlat);e.exports=s({z:{valType:"data_array",editType:"calc"},x:s({},n.x,{impliedEdits:{xtype:"array"}}),x0:s({},n.x0,{impliedEdits:{xtype:"scaled"}}),dx:s({},n.dx,{impliedEdits:{xtype:"scaled"}}),y:s({},n.y,{impliedEdits:{ytype:"array"}}),y0:s({},n.y0,{impliedEdits:{ytype:"scaled"}}),dy:s({},n.dy,{impliedEdits:{ytype:"scaled"}}),xperiod:s({},n.xperiod,{impliedEdits:{xtype:"scaled"}}),yperiod:s({},n.yperiod,{impliedEdits:{ytype:"scaled"}}),xperiod0:s({},n.xperiod0,{impliedEdits:{xtype:"scaled"}}),yperiod0:s({},n.yperiod0,{impliedEdits:{ytype:"scaled"}}),xperiodalignment:s({},n.xperiodalignment,{impliedEdits:{xtype:"scaled"}}),yperiodalignment:s({},n.yperiodalignment,{impliedEdits:{ytype:"scaled"}}),text:{valType:"data_array",editType:"calc"},hovertext:{valType:"data_array",editType:"calc"},transpose:{valType:"boolean",dflt:!1,editType:"calc"},xtype:{valType:"enumerated",values:["array","scaled"],editType:"calc+clearAxisTypes"},ytype:{valType:"enumerated",values:["array","scaled"],editType:"calc+clearAxisTypes"},zsmooth:{valType:"enumerated",values:["fast","best",!1],dflt:!1,editType:"calc"},hoverongaps:{valType:"boolean",dflt:!0,editType:"none"},connectgaps:{valType:"boolean",editType:"calc"},xgap:{valType:"number",dflt:0,min:0,editType:"plot"},ygap:{valType:"number",dflt:0,min:0,editType:"plot"},zhoverformat:{valType:"string",dflt:"",editType:"none"},hovertemplate:a(),showlegend:s({},i.showlegend,{dflt:!1})},{transforms:void 0},o("",{cLetter:"z",autoColorDflt:!1}))},{"../../components/colorscale/attributes":650,"../../constants/docs":748,"../../lib/extend":768,"../../plots/attributes":824,"../../plots/template_attributes":906,"../scatter/attributes":1187}],1066:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("../../plots/cartesian/axes"),o=t("../../plots/cartesian/align_period"),s=t("../histogram2d/calc"),l=t("../../components/colorscale/calc"),c=t("./convert_column_xyz"),u=t("./clean_2d_array"),f=t("./interp2d"),h=t("./find_empties"),p=t("./make_bound_array"),d=t("../../constants/numerical").BADNUM;function g(t){for(var e=[],r=t.length,n=0;nD){z("x scale is not linear");break}}if(x.length&&"fast"===I){var R=(x[x.length-1]-x[0])/(x.length-1),F=Math.abs(R/100);for(k=0;kF){z("y scale is not linear");break}}}var B=i.maxRowLength(T),N="scaled"===e.xtype?"":r,j=p(e,N,m,v,B,A),U="scaled"===e.ytype?"":x,V=p(e,U,b,_,T.length,S);L||(e._extremes[A._id]=a.findExtremes(A,j),e._extremes[S._id]=a.findExtremes(S,V));var q={x:j,y:V,z:T,text:e._text||e.text,hovertext:e._hovertext||e.hovertext};if(e.xperiodalignment&&y&&(q.orig_x=y),e.yperiodalignment&&w&&(q.orig_y=w),N&&N.length===j.length-1&&(q.xCenter=N),U&&U.length===V.length-1&&(q.yCenter=U),C&&(q.xRanges=M.xRanges,q.yRanges=M.yRanges,q.pts=M.pts),E||l(t,e,{vals:T,cLetter:"z"}),E&&e.contours&&"heatmap"===e.contours.coloring){var H={type:"contour"===e.type?"heatmap":"histogram2d",xcalendar:e.xcalendar,ycalendar:e.ycalendar};q.xfill=p(H,N,m,v,B,A),q.yfill=p(H,U,b,_,T.length,S)}return[q]}},{"../../components/colorscale/calc":651,"../../constants/numerical":753,"../../lib":778,"../../plots/cartesian/align_period":825,"../../plots/cartesian/axes":828,"../../registry":911,"../histogram2d/calc":1098,"./clean_2d_array":1067,"./convert_column_xyz":1069,"./find_empties":1071,"./interp2d":1074,"./make_bound_array":1075}],1067:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("../../constants/numerical").BADNUM;e.exports=function(t,e,r,o){var s,l,c,u,f,h;function p(t){if(n(t))return+t}if(e&&e.transpose){for(s=0,f=0;f=0;o--)(s=((f[[(r=(a=h[o])[0])-1,i=a[1]]]||g)[2]+(f[[r+1,i]]||g)[2]+(f[[r,i-1]]||g)[2]+(f[[r,i+1]]||g)[2])/20)&&(l[a]=[r,i,s],h.splice(o,1),c=!0);if(!c)throw"findEmpties iterated with no new neighbors";for(a in l)f[a]=l[a],u.push(l[a])}return u.sort((function(t,e){return e[2]-t[2]}))}},{"../../lib":778}],1072:[function(t,e,r){"use strict";var n=t("../../components/fx"),i=t("../../lib"),a=t("../../plots/cartesian/axes"),o=t("../../components/colorscale").extractOpts;e.exports=function(t,e,r,s,l,c){var u,f,h,p,d=t.cd[0],g=d.trace,m=t.xa,v=t.ya,y=d.x,x=d.y,b=d.z,_=d.xCenter,w=d.yCenter,T=d.zmask,k=g.zhoverformat,M=y,A=x;if(!1!==t.index){try{h=Math.round(t.index[1]),p=Math.round(t.index[0])}catch(e){return void i.error("Error hovering on heatmap, pointNumber must be [row,col], found:",t.index)}if(h<0||h>=b[0].length||p<0||p>b.length)return}else{if(n.inbox(e-y[0],e-y[y.length-1],0)>0||n.inbox(r-x[0],r-x[x.length-1],0)>0)return;if(c){var S;for(M=[2*y[0]-y[1]],S=1;Sg&&(v=Math.max(v,Math.abs(t[a][o]-d)/(m-g))))}return v}e.exports=function(t,e){var r,i=1;for(o(t,e),r=0;r.01;r++)i=o(t,e,a(i));return i>.01&&n.log("interp2d didn't converge quickly",i),t}},{"../../lib":778}],1075:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib").isArrayOrTypedArray;e.exports=function(t,e,r,a,o,s){var l,c,u,f=[],h=n.traceIs(t,"contour"),p=n.traceIs(t,"histogram"),d=n.traceIs(t,"gl2d");if(i(e)&&e.length>1&&!p&&"category"!==s.type){var g=e.length;if(!(g<=o))return h?e.slice(0,o):e.slice(0,o+1);if(h||d)f=e.slice(0,o);else if(1===o)f=[e[0]-.5,e[0]+.5];else{for(f=[1.5*e[0]-.5*e[1]],u=1;u0;)h=p.c2p(T[y]),y--;for(h0;)v=d.c2p(k[y]),y--;if(v0&&(a=!0);for(var l=0;la){var o=a-r[t];return r[t]=a,o}}return 0},max:function(t,e,r,i){var a=i[e];if(n(a)){if(a=Number(a),!n(r[t]))return r[t]=a,a;if(r[t]c?t>o?t>1.1*i?i:t>1.1*a?a:o:t>s?s:t>l?l:c:Math.pow(10,Math.floor(Math.log(t)/Math.LN10))}function p(t,e,r,n,a,s){if(n&&t>o){var l=d(e,a,s),c=d(r,a,s),u=t===i?0:1;return l[u]!==c[u]}return Math.floor(r/t)-Math.floor(e/t)>.1}function d(t,e,r){var n=e.c2d(t,i,r).split("-");return""===n[0]&&(n.unshift(),n[0]="-"+n[0]),n}e.exports=function(t,e,r,n,a){var s,l,c=-1.1*e,h=-.1*e,p=t-h,d=r[0],g=r[1],m=Math.min(f(d+h,d+p,n,a),f(g+h,g+p,n,a)),v=Math.min(f(d+c,d+h,n,a),f(g+c,g+h,n,a));if(m>v&&vo){var y=s===i?1:6,x=s===i?"M12":"M1";return function(e,r){var o=n.c2d(e,i,a),s=o.indexOf("-",y);s>0&&(o=o.substr(0,s));var c=n.d2c(o,0,a);if(cr.r2l(B)&&(j=o.tickIncrement(j,b.size,!0,p)),O.start=r.l2r(j),F||i.nestedProperty(e,v+".start").set(O.start)}var U=b.end,V=r.r2l(z.end),q=void 0!==V;if((b.endFound||q)&&V!==r.r2l(U)){var H=q?V:i.aggNums(Math.max,null,d);O.end=r.l2r(H),q||i.nestedProperty(e,v+".start").set(O.end)}var G="autobin"+s;return!1===e._input[G]&&(e._input[v]=i.extendFlat({},e[v]||{}),delete e._input[G],delete e[G]),[O,d]}e.exports={calc:function(t,e){var r,a,p,d,g=[],m=[],v=o.getFromId(t,"h"===e.orientation?e.yaxis:e.xaxis),y="h"===e.orientation?"y":"x",x={x:"y",y:"x"}[y],b=e[y+"calendar"],_=e.cumulative,w=h(t,e,v,y),T=w[0],k=w[1],M="string"==typeof T.size,A=[],S=M?A:T,E=[],C=[],L=[],I=0,P=e.histnorm,z=e.histfunc,O=-1!==P.indexOf("density");_.enabled&&O&&(P=P.replace(/ ?density$/,""),O=!1);var D,R="max"===z||"min"===z?null:0,F=l.count,B=c[P],N=!1,j=function(t){return v.r2c(t,0,b)};for(i.isArrayOrTypedArray(e[x])&&"count"!==z&&(D=e[x],N="avg"===z,F=l[z]),r=j(T.start),p=j(T.end)+(r-o.tickIncrement(r,T.size,!1,b))/1e6;r=0&&d=0;n--)s(n);else if("increasing"===e){for(n=1;n=0;n--)t[n]+=t[n+1];"exclude"===r&&(t.push(0),t.shift())}}(m,_.direction,_.currentbin);var J=Math.min(g.length,m.length),K=[],Q=0,$=J-1;for(r=0;r=Q;r--)if(m[r]){$=r;break}for(r=Q;r<=$;r++)if(n(g[r])&&n(m[r])){var tt={p:g[r],s:m[r],b:0};_.enabled||(tt.pts=L[r],G?tt.ph0=tt.ph1=L[r].length?k[L[r][0]]:g[r]:(e._computePh=!0,tt.ph0=q(A[r]),tt.ph1=q(A[r+1],!0))),K.push(tt)}return 1===K.length&&(K[0].width1=o.tickIncrement(K[0].p,T.size,!1,b)-K[0].p),s(K,e),i.isArrayOrTypedArray(e.selectedpoints)&&i.tagSelected(K,e,X),K},calcAllAutoBins:h}},{"../../lib":778,"../../plots/cartesian/axes":828,"../../registry":911,"../bar/arrays_to_calcdata":920,"./average":1085,"./bin_functions":1087,"./bin_label_vals":1088,"./norm_functions":1096,"fast-isnumeric":241}],1090:[function(t,e,r){"use strict";e.exports={eventDataKeys:["binNumber"]}},{}],1091:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axis_ids"),a=t("../../registry").traceIs,o=t("../bar/defaults").handleGroupingDefaults,s=n.nestedProperty,l=t("../../plots/cartesian/constraints").getAxisGroup,c=[{aStr:{x:"xbins.start",y:"ybins.start"},name:"start"},{aStr:{x:"xbins.end",y:"ybins.end"},name:"end"},{aStr:{x:"xbins.size",y:"ybins.size"},name:"size"},{aStr:{x:"nbinsx",y:"nbinsy"},name:"nbins"}],u=["x","y"];e.exports=function(t,e){var r,f,h,p,d,g,m,v=e._histogramBinOpts={},y=[],x={},b=[];function _(t,e){return n.coerce(r._input,r,r._module.attributes,t,e)}function w(t){return"v"===t.orientation?"x":"y"}function T(t,r,a){var o=t.uid+"__"+a;r||(r=o);var s=function(t,r){return i.getFromTrace({_fullLayout:e},t,r).type}(t,a),l=t[a+"calendar"]||"",c=v[r],u=!0;c&&(s===c.axType&&l===c.calendar?(u=!1,c.traces.push(t),c.dirs.push(a)):(r=o,s!==c.axType&&n.warn(["Attempted to group the bins of trace",t.index,"set on a","type:"+s,"axis","with bins on","type:"+c.axType,"axis."].join(" ")),l!==c.calendar&&n.warn(["Attempted to group the bins of trace",t.index,"set with a",l,"calendar","with bins",c.calendar?"on a "+c.calendar+" calendar":"w/o a set calendar"].join(" ")))),u&&(v[r]={traces:[t],dirs:[a],axType:s,calendar:t[a+"calendar"]||""}),t["_"+a+"bingroup"]=r}for(d=0;dS&&T.splice(S,T.length-S),A.length>S&&A.splice(S,A.length-S);var E=[],C=[],L=[],I="string"==typeof w.size,P="string"==typeof M.size,z=[],O=[],D=I?z:w,R=P?O:M,F=0,B=[],N=[],j=e.histnorm,U=e.histfunc,V=-1!==j.indexOf("density"),q="max"===U||"min"===U?null:0,H=a.count,G=o[j],Y=!1,W=[],X=[],Z="z"in e?e.z:"marker"in e&&Array.isArray(e.marker.color)?e.marker.color:"";Z&&"count"!==U&&(Y="avg"===U,H=a[U]);var J=w.size,K=x(w.start),Q=x(w.end)+(K-i.tickIncrement(K,J,!1,v))/1e6;for(r=K;r=0&&p=0&&d<st&&(F+=H(p,r,E[d],Z,B[d]),N[d][p].push(r),ut&&(void 0===ht[p]?ht[p]=yt:ht[p]!==yt&&(ut=!1)),ft&&(void 0===pt[d]?pt[d]=xt:pt[d]!==xt&&(ft=!1)),dt=Math.min(dt,yt-z[p]),gt=Math.min(gt,z[p+1]-yt),mt=Math.min(mt,xt-O[d]),vt=Math.min(vt,O[d+1]-xt))}if(Y)for(d=0;d<st;d++)F+=s(E[d],B[d]);if(G)for(d=0;d<st;d++)G(E[d],F,W,X[d]);return{x:T,xRanges:h(z,ut&&ht,dt,gt,g,v),x0:rt,dx:et,y:A,yRanges:h(O,ft&&pt,mt,vt,m,y),y0:ct,dy:lt,z:E,pts:N}}},{"../../lib":778,"../../plots/cartesian/axes":828,"../histogram/average":1085,"../histogram/bin_functions":1087,"../histogram/bin_label_vals":1088,"../histogram/calc":1089,"../histogram/norm_functions":1096}],1099:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./sample_defaults"),a=t("../heatmap/style_defaults"),o=t("../../components/colorscale/defaults"),s=t("./attributes");e.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,s,r,i)}i(t,e,c,l),!1!==e.visible&&(a(t,e,c,l),o(t,e,l,c,{prefix:"",cLetter:"z"}),c("hovertemplate"))}},{"../../components/colorscale/defaults":653,"../../lib":778,"../heatmap/style_defaults":1078,"./attributes":1097,"./sample_defaults":1102}],1100:[function(t,e,r){"use strict";var n=t("../heatmap/hover"),i=t("../../plots/cartesian/axes").hoverLabelText;e.exports=function(t,e,r,a,o,s){var l=n(t,e,r,a,o,s);if(l){var c=(t=l[0]).index,u=c[0],f=c[1],h=t.cd[0],p=h.xRanges[f],d=h.yRanges[u];return t.xLabel=i(t.xa,p[0],p[1]),t.yLabel=i(t.ya,d[0],d[1]),l}}},{"../../plots/cartesian/axes":828,"../heatmap/hover":1072}],1101:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),crossTraceDefaults:t("../histogram/cross_trace_defaults"),calc:t("../heatmap/calc"),plot:t("../heatmap/plot"),layerName:"heatmaplayer",colorbar:t("../heatmap/colorbar"),style:t("../heatmap/style"),hoverPoints:t("./hover"),eventData:t("../histogram/event_data"),moduleType:"trace",name:"histogram2d",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","2dMap","histogram","showLegend"],meta:{}}},{"../../plots/cartesian":841,"../heatmap/calc":1066,"../heatmap/colorbar":1068,"../heatmap/plot":1076,"../heatmap/style":1077,"../histogram/cross_trace_defaults":1091,"../histogram/event_data":1093,"./attributes":1097,"./defaults":1099,"./hover":1100}],1102:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib");e.exports=function(t,e,r,a){var o=r("x"),s=r("y"),l=i.minRowLength(o),c=i.minRowLength(s);l&&c?(e._length=Math.min(l,c),n.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y"],a),(r("z")||r("marker.color"))&&r("histfunc"),r("histnorm"),r("autobinx"),r("autobiny")):e.visible=!1}},{"../../lib":778,"../../registry":911}],1103:[function(t,e,r){"use strict";var n=t("../histogram2d/attributes"),i=t("../contour/attributes"),a=t("../../components/colorscale/attributes"),o=t("../../lib/extend").extendFlat;e.exports=o({x:n.x,y:n.y,z:n.z,marker:n.marker,histnorm:n.histnorm,histfunc:n.histfunc,nbinsx:n.nbinsx,xbins:n.xbins,nbinsy:n.nbinsy,ybins:n.ybins,autobinx:n.autobinx,autobiny:n.autobiny,bingroup:n.bingroup,xbingroup:n.xbingroup,ybingroup:n.ybingroup,autocontour:i.autocontour,ncontours:i.ncontours,contours:i.contours,line:{color:i.line.color,width:o({},i.line.width,{dflt:.5}),dash:i.line.dash,smoothing:i.line.smoothing,editType:"plot"},zhoverformat:n.zhoverformat,hovertemplate:n.hovertemplate},a("",{cLetter:"z",editTypeOverride:"calc"}))},{"../../components/colorscale/attributes":650,"../../lib/extend":768,"../contour/attributes":1008,"../histogram2d/attributes":1097}],1104:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../histogram2d/sample_defaults"),a=t("../contour/contours_defaults"),o=t("../contour/style_defaults"),s=t("./attributes");e.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,s,r,i)}i(t,e,c,l),!1!==e.visible&&(a(t,e,c,(function(r){return n.coerce2(t,e,s,r)})),o(t,e,c,l),c("hovertemplate"))}},{"../../lib":778,"../contour/contours_defaults":1015,"../contour/style_defaults":1029,"../histogram2d/sample_defaults":1102,"./attributes":1103}],1105:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),crossTraceDefaults:t("../histogram/cross_trace_defaults"),calc:t("../contour/calc"),plot:t("../contour/plot").plot,layerName:"contourlayer",style:t("../contour/style"),colorbar:t("../contour/colorbar"),hoverPoints:t("../contour/hover"),moduleType:"trace",name:"histogram2dcontour",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","2dMap","contour","histogram","showLegend"],meta:{}}},{"../../plots/cartesian":841,"../contour/calc":1009,"../contour/colorbar":1011,"../contour/hover":1021,"../contour/plot":1026,"../contour/style":1028,"../histogram/cross_trace_defaults":1091,"./attributes":1103,"./defaults":1104}],1106:[function(t,e,r){"use strict";for(var n=t("../../plots/attributes"),i=t("../../plots/template_attributes").hovertemplateAttrs,a=t("../../lib/extend").extendFlat,o=t("./constants").colormodel,s=["rgb","rgba","rgba256","hsl","hsla"],l=[],c=[],u=0;u<s.length;u++){var f=o[s[u]];l.push("For the `"+s[u]+"` colormodel, it is ["+(f.zminDflt||f.min).join(", ")+"]."),c.push("For the `"+s[u]+"` colormodel, it is ["+(f.zmaxDflt||f.max).join(", ")+"].")}e.exports=a({source:{valType:"string",editType:"calc"},z:{valType:"data_array",editType:"calc"},colormodel:{valType:"enumerated",values:s,editType:"calc"},zmin:{valType:"info_array",items:[{valType:"number",editType:"calc"},{valType:"number",editType:"calc"},{valType:"number",editType:"calc"},{valType:"number",editType:"calc"}],editType:"calc"},zmax:{valType:"info_array",items:[{valType:"number",editType:"calc"},{valType:"number",editType:"calc"},{valType:"number",editType:"calc"},{valType:"number",editType:"calc"}],editType:"calc"},x0:{valType:"any",dflt:0,editType:"calc+clearAxisTypes"},y0:{valType:"any",dflt:0,editType:"calc+clearAxisTypes"},dx:{valType:"number",dflt:1,editType:"calc"},dy:{valType:"number",dflt:1,editType:"calc"},text:{valType:"data_array",editType:"plot"},hovertext:{valType:"data_array",editType:"plot"},hoverinfo:a({},n.hoverinfo,{flags:["x","y","z","color","name","text"],dflt:"x+y+z+text+name"}),hovertemplate:i({},{keys:["z","color","colormodel"]}),transforms:void 0})},{"../../lib/extend":768,"../../plots/attributes":824,"../../plots/template_attributes":906,"./constants":1108}],1107:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./constants"),a=t("fast-isnumeric"),o=t("../../plots/cartesian/axes"),s=t("../../lib").maxRowLength,l=t("./helpers").getImageSize;function c(t,e,r,i){return function(a){return n.constrain((a-t)*e,r,i)}}function u(t,e){return function(r){return n.constrain(r,t,e)}}e.exports=function(t,e){var r,n;if(e._hasZ)r=e.z.length,n=s(e.z);else if(e._hasSource){var f=l(e.source);r=f.height,n=f.width}var h,p=o.getFromId(t,e.xaxis||"x"),d=o.getFromId(t,e.yaxis||"y"),g=p.d2c(e.x0)-e.dx/2,m=d.d2c(e.y0)-e.dy/2,v=[g,g+n*e.dx],y=[m,m+r*e.dy];if(p&&"log"===p.type)for(h=0;h0||n.inbox(r-o.y0,r-(o.y0+o.h*s.dy),0)>0)){var u,f=Math.floor((e-o.x0)/s.dx),h=Math.floor(Math.abs(r-o.y0)/s.dy);if(s._hasZ?u=o.z[h][f]:s._hasSource&&(u=s._canvas.el.getContext("2d").getImageData(f,h,1,1).data),u){var p,d=o.hi||s.hoverinfo;if(d){var g=d.split("+");-1!==g.indexOf("all")&&(g=["color"]),-1!==g.indexOf("color")&&(p=!0)}var m,v=a.colormodel[s.colormodel],y=v.colormodel||s.colormodel,x=y.length,b=s._scaler(u),_=v.suffix,w=[];(s.hovertemplate||p)&&(w.push("["+[b[0]+_[0],b[1]+_[1],b[2]+_[2]].join(", ")),4===x&&w.push(", "+b[3]+_[3]),w.push("]"),w=w.join(""),t.extraText=y.toUpperCase()+": "+w),Array.isArray(s.hovertext)&&Array.isArray(s.hovertext[h])?m=s.hovertext[h][f]:Array.isArray(s.text)&&Array.isArray(s.text[h])&&(m=s.text[h][f]);var T=c.c2p(o.y0+(h+.5)*s.dy),k=o.x0+(f+.5)*s.dx,M=o.y0+(h+.5)*s.dy,A="["+u.slice(0,s.colormodel.length).join(", ")+"]";return[i.extendFlat(t,{index:[h,f],x0:l.c2p(o.x0+f*s.dx),x1:l.c2p(o.x0+(f+1)*s.dx),y0:T,y1:T,color:b,xVal:k,xLabelVal:k,yVal:M,yLabelVal:M,zLabelVal:A,text:m,hovertemplateLabels:{zLabel:A,colorLabel:w,"color[0]Label":b[0]+_[0],"color[1]Label":b[1]+_[1],"color[2]Label":b[2]+_[2],"color[3]Label":b[3]+_[3]}})]}}}},{"../../components/fx":683,"../../lib":778,"./constants":1108}],1113:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),plot:t("./plot"),style:t("./style"),hoverPoints:t("./hover"),eventData:t("./event_data"),moduleType:"trace",name:"image",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","2dMap","noSortingByValue"],animatable:!1,meta:{}}},{"../../plots/cartesian":841,"./attributes":1106,"./calc":1107,"./defaults":1109,"./event_data":1110,"./hover":1112,"./plot":1114,"./style":1115}],1114:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../lib"),a=i.strTranslate,o=t("../../constants/xmlns_namespaces"),s=t("./constants"),l=i.isIOS()||i.isSafari()||i.isIE();e.exports=function(t,e,r,c){var u=e.xaxis,f=e.yaxis,h=!(l||t._context._exportedPlot);i.makeTraceGroups(c,r,"im").each((function(e){var r=n.select(this),l=e[0],c=l.trace,p=h&&!c._hasZ&&c._hasSource&&"linear"===u.type&&"linear"===f.type;c._fastImage=p;var d,g,m,v,y,x,b=l.z,_=l.x0,w=l.y0,T=l.w,k=l.h,M=c.dx,A=c.dy;for(x=0;void 0===d&&x0;)g=u.c2p(_+x*M),x--;for(x=0;void 0===v&&x0;)y=f.c2p(w+x*A),x--;if(gP[0];if(z||O){var D=d+S/2,R=v+E/2;L+="transform:"+a(D+"px",R+"px")+"scale("+(z?-1:1)+","+(O?-1:1)+")"+a(-D+"px",-R+"px")+";"}}C.attr("style",L);var F=new Promise((function(t){if(c._hasZ)t();else if(c._hasSource)if(c._canvas&&c._canvas.el.width===T&&c._canvas.el.height===k&&c._canvas.source===c.source)t();else{var e=document.createElement("canvas");e.width=T,e.height=k;var r=e.getContext("2d");c._image=c._image||new Image;var n=c._image;n.onload=function(){r.drawImage(n,0,0),c._canvas={el:e,source:c.source},t()},n.setAttribute("src",c.source)}})).then((function(){var t;if(c._hasZ)t=B((function(t,e){return b[e][t]})).toDataURL("image/png");else if(c._hasSource)if(p)t=c.source;else{var e=c._canvas.el.getContext("2d").getImageData(0,0,T,k).data;t=B((function(t,r){var n=4*(r*T+t);return[e[n],e[n+1],e[n+2],e[n+3]]})).toDataURL("image/png")}C.attr({"xlink:href":t,height:E,width:S,x:d,y:v})}));t._promises.push(F)}function B(t){var e=document.createElement("canvas");e.width=S,e.height=E;var r,n=e.getContext("2d"),a=function(t){return i.constrain(Math.round(u.c2p(_+t*M)-d),0,S)},o=function(t){return i.constrain(Math.round(f.c2p(w+t*A)-v),0,E)},h=s.colormodel[c.colormodel],p=h.colormodel||c.colormodel,g=h.fmt;for(x=0;x0}function _(t){t.each((function(t){m.stroke(n.select(this),t.line.color)})).each((function(t){m.fill(n.select(this),t.color)})).style("stroke-width",(function(t){return t.line.width}))}function w(t,e,r){var n=t._fullLayout,a=i.extendFlat({type:"linear",ticks:"outside",range:r,showline:!0},e),o={type:"linear",_id:"x"+e._id},s={letter:"x",font:n.font,noHover:!0,noTickson:!0};function l(t,e){return i.coerce(a,o,g,t,e)}return p(a,o,l,s,n),d(a,o,l,s),o}function T(t,e,r){return[Math.min(e/t.width,r/t.height),t,e+"x"+r]}function k(t,e,r,i){var a=document.createElementNS("http://www.w3.org/2000/svg","text"),o=n.select(a);return o.text(t).attr("x",0).attr("y",0).attr("text-anchor",r).attr("data-unformatted",t).call(f.convertToTspans,i).call(c.font,e),c.bBox(o.node())}function M(t,e,r,n,a,o){var s="_cache"+e;t[s]&&t[s].key===a||(t[s]={key:a,value:r});var l=i.aggNums(o,null,[t[s].value,n],2);return t[s].value=l,l}e.exports=function(t,e,r,p){var d,g=t._fullLayout;b(r)&&p&&(d=p()),i.makeTraceGroups(g._indicatorlayer,e,"trace").each((function(e){var p,A,S,E,C,L=e[0].trace,I=n.select(this),P=L._hasGauge,z=L._isAngular,O=L._isBullet,D=L.domain,R={w:g._size.w*(D.x[1]-D.x[0]),h:g._size.h*(D.y[1]-D.y[0]),l:g._size.l+g._size.w*D.x[0],r:g._size.r+g._size.w*(1-D.x[1]),t:g._size.t+g._size.h*(1-D.y[1]),b:g._size.b+g._size.h*D.y[0]},F=R.l+R.w/2,B=R.t+R.h/2,N=Math.min(R.w/2,R.h),j=u.innerRadius*N,U=L.align||"center";if(A=B,P){if(z&&(p=F,A=B+N/2,S=function(t){return function(t,e){var r=Math.sqrt(t.width/2*(t.width/2)+t.height*t.height);return[e/r,t,e]}(t,.9*j)}),O){var V=u.bulletPadding,q=1-u.bulletNumberDomainSize+V;p=R.l+(q+(1-q)*y[U])*R.w,S=function(t){return T(t,(u.bulletNumberDomainSize-V)*R.w,R.h)}}}else p=R.l+y[U]*R.w,S=function(t){return T(t,R.w,R.h)};!function(t,e,r,s){var l,u,p,d=r[0].trace,g=s.numbersX,_=s.numbersY,T=d.align||"center",A=v[T],S=s.transitionOpts,E=s.onComplete,C=i.ensureSingle(e,"g","numbers"),L=[];d._hasNumber&&L.push("number");d._hasDelta&&(L.push("delta"),"left"===d.delta.position&&L.reverse());var I=C.selectAll("text").data(L);function P(e,r,n,i){if(!e.match("s")||n>=0==i>=0||r(n).slice(-1).match(x)||r(i).slice(-1).match(x))return r;var a=e.slice().replace("s","f").replace(/\d+/,(function(t){return parseInt(t)-1})),o=w(t,{tickformat:a});return function(t){return Math.abs(t)<1?h.tickText(o,t).text:r(t)}}I.enter().append("text"),I.attr("text-anchor",(function(){return A})).attr("class",(function(t){return t})).attr("x",null).attr("y",null).attr("dx",null).attr("dy",null),I.exit().remove();var z,O=d.mode+d.align;d._hasDelta&&(z=function(){var e=w(t,{tickformat:d.delta.valueformat},d._range);e.setScale(),h.prepTicks(e);var i=function(t){return h.tickText(e,t).text},a=function(t){return d.delta.relative?t.relativeDelta:t.delta},o=function(t,e){return 0===t||"number"!=typeof t||isNaN(t)?"-":(t>0?d.delta.increasing.symbol:d.delta.decreasing.symbol)+e(t)},s=function(t){return t.delta>=0?d.delta.increasing.color:d.delta.decreasing.color};void 0===d._deltaLastValue&&(d._deltaLastValue=a(r[0]));var l=C.select("text.delta");function p(){l.text(o(a(r[0]),i)).call(m.fill,s(r[0])).call(f.convertToTspans,t)}return l.call(c.font,d.delta.font).call(m.fill,s({delta:d._deltaLastValue})),b(S)?l.transition().duration(S.duration).ease(S.easing).tween("text",(function(){var t=n.select(this),e=a(r[0]),l=d._deltaLastValue,c=P(d.delta.valueformat,i,l,e),u=n.interpolateNumber(l,e);return d._deltaLastValue=e,function(e){t.text(o(u(e),c)),t.call(m.fill,s({delta:u(e)}))}})).each("end",(function(){p(),E&&E()})).each("interrupt",(function(){p(),E&&E()})):p(),u=k(o(a(r[0]),i),d.delta.font,A,t),l}(),O+=d.delta.position+d.delta.font.size+d.delta.font.family+d.delta.valueformat,O+=d.delta.increasing.symbol+d.delta.decreasing.symbol,p=u);d._hasNumber&&(!function(){var e=w(t,{tickformat:d.number.valueformat},d._range);e.setScale(),h.prepTicks(e);var i=function(t){return h.tickText(e,t).text},a=d.number.suffix,o=d.number.prefix,s=C.select("text.number");function u(){var e="number"==typeof r[0].y?o+i(r[0].y)+a:"-";s.text(e).call(c.font,d.number.font).call(f.convertToTspans,t)}b(S)?s.transition().duration(S.duration).ease(S.easing).each("end",(function(){u(),E&&E()})).each("interrupt",(function(){u(),E&&E()})).attrTween("text",(function(){var t=n.select(this),e=n.interpolateNumber(r[0].lastY,r[0].y);d._lastValue=r[0].y;var s=P(d.number.valueformat,i,r[0].lastY,r[0].y);return function(r){t.text(o+s(e(r))+a)}})):u(),l=k(o+i(r[0].y)+a,d.number.font,A,t)}(),O+=d.number.font.size+d.number.font.family+d.number.valueformat+d.number.suffix+d.number.prefix,p=l);if(d._hasDelta&&d._hasNumber){var D,R,F=[(l.left+l.right)/2,(l.top+l.bottom)/2],B=[(u.left+u.right)/2,(u.top+u.bottom)/2],N=.75*d.delta.font.size;"left"===d.delta.position&&(D=M(d,"deltaPos",0,-1*(l.width*y[d.align]+u.width*(1-y[d.align])+N),O,Math.min),R=F[1]-B[1],p={width:l.width+u.width+N,height:Math.max(l.height,u.height),left:u.left+D,right:l.right,top:Math.min(l.top,u.top+R),bottom:Math.max(l.bottom,u.bottom+R)}),"right"===d.delta.position&&(D=M(d,"deltaPos",0,l.width*(1-y[d.align])+u.width*y[d.align]+N,O,Math.max),R=F[1]-B[1],p={width:l.width+u.width+N,height:Math.max(l.height,u.height),left:l.left,right:u.right+D,top:Math.min(l.top,u.top+R),bottom:Math.max(l.bottom,u.bottom+R)}),"bottom"===d.delta.position&&(D=null,R=u.height,p={width:Math.max(l.width,u.width),height:l.height+u.height,left:Math.min(l.left,u.left),right:Math.max(l.right,u.right),top:l.bottom-l.height,bottom:l.bottom+u.height}),"top"===d.delta.position&&(D=null,R=l.top,p={width:Math.max(l.width,u.width),height:l.height+u.height,left:Math.min(l.left,u.left),right:Math.max(l.right,u.right),top:l.bottom-l.height-u.height,bottom:l.bottom}),z.attr({dx:D,dy:R})}(d._hasNumber||d._hasDelta)&&C.attr("transform",(function(){var t=s.numbersScaler(p);O+=t[2];var e,r=M(d,"numbersScale",1,t[0],O,Math.min);d._scaleNumbers||(r=1),e=d._isAngular?_-r*p.bottom:_-r*(p.top+p.bottom)/2,d._numbersTop=r*p.top+e;var n=p[T];"center"===T&&(n=(p.left+p.right)/2);var i=g-r*n;return i=M(d,"numbersTranslate",0,i,O,Math.max),o(i,e)+a(r)}))}(t,I,e,{numbersX:p,numbersY:A,numbersScaler:S,transitionOpts:r,onComplete:d}),P&&(E={range:L.gauge.axis.range,color:L.gauge.bgcolor,line:{color:L.gauge.bordercolor,width:0},thickness:1},C={range:L.gauge.axis.range,color:"rgba(0, 0, 0, 0)",line:{color:L.gauge.bordercolor,width:L.gauge.borderwidth},thickness:1});var H=I.selectAll("g.angular").data(z?e:[]);H.exit().remove();var G=I.selectAll("g.angularaxis").data(z?e:[]);G.exit().remove(),z&&function(t,e,r,i){var a,c,u,f,p=r[0].trace,d=i.size,g=i.radius,m=i.innerRadius,v=i.gaugeBg,y=i.gaugeOutline,x=[d.l+d.w/2,d.t+d.h/2+g/2],T=i.gauge,k=i.layer,M=i.transitionOpts,A=i.onComplete,S=Math.PI/2;function E(t){var e=p.gauge.axis.range[0],r=(t-e)/(p.gauge.axis.range[1]-e)*Math.PI-S;return r<-S?-S:r>S?S:r}function C(t){return n.svg.arc().innerRadius((m+g)/2-t/2*(g-m)).outerRadius((m+g)/2+t/2*(g-m)).startAngle(-S)}function L(t){t.attr("d",(function(t){return C(t.thickness).startAngle(E(t.range[0])).endAngle(E(t.range[1]))()}))}T.enter().append("g").classed("angular",!0),T.attr("transform",o(x[0],x[1])),k.enter().append("g").classed("angularaxis",!0).classed("crisp",!0),k.selectAll("g.xangularaxistick,path,text").remove(),(a=w(t,p.gauge.axis)).type="linear",a.range=p.gauge.axis.range,a._id="xangularaxis",a.setScale();var I=function(t){return(a.range[0]-t.x)/(a.range[1]-a.range[0])*Math.PI+Math.PI},P={},z=h.makeLabelFns(a,0).labelStandoff;P.xFn=function(t){var e=I(t);return Math.cos(e)*z},P.yFn=function(t){var e=I(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*l)},P.anchorFn=function(t){var e=I(t),r=Math.cos(e);return Math.abs(r)<.1?"middle":r>0?"start":"end"},P.heightFn=function(t,e,r){var n=I(t);return-.5*(1+Math.sin(n))*r};var O=function(t){return o(x[0]+g*Math.cos(t),x[1]-g*Math.sin(t))};u=function(t){return O(I(t))};if(c=h.calcTicks(a),f=h.getTickSigns(a)[2],a.visible){f="inside"===a.ticks?-1:1;var D=(a.linewidth||1)/2;h.drawTicks(t,a,{vals:c,layer:k,path:"M"+f*D+",0h"+f*a.ticklen,transFn:function(t){var e=I(t);return O(e)+"rotate("+-s(e)+")"}}),h.drawLabels(t,a,{vals:c,layer:k,transFn:u,labelFns:P})}var R=[v].concat(p.gauge.steps),F=T.selectAll("g.bg-arc").data(R);F.enter().append("g").classed("bg-arc",!0).append("path"),F.select("path").call(L).call(_),F.exit().remove();var B=C(p.gauge.bar.thickness),N=T.selectAll("g.value-arc").data([p.gauge.bar]);N.enter().append("g").classed("value-arc",!0).append("path");var j=N.select("path");b(M)?(j.transition().duration(M.duration).ease(M.easing).each("end",(function(){A&&A()})).each("interrupt",(function(){A&&A()})).attrTween("d",(U=B,V=E(r[0].lastY),q=E(r[0].y),function(){var t=n.interpolate(V,q);return function(e){return U.endAngle(t(e))()}})),p._lastValue=r[0].y):j.attr("d","number"==typeof r[0].y?B.endAngle(E(r[0].y)):"M0,0Z");var U,V,q;j.call(_),N.exit().remove(),R=[];var H=p.gauge.threshold.value;H&&R.push({range:[H,H],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var G=T.selectAll("g.threshold-arc").data(R);G.enter().append("g").classed("threshold-arc",!0).append("path"),G.select("path").call(L).call(_),G.exit().remove();var Y=T.selectAll("g.gauge-outline").data([y]);Y.enter().append("g").classed("gauge-outline",!0).append("path"),Y.select("path").call(L).call(_),Y.exit().remove()}(t,0,e,{radius:N,innerRadius:j,gauge:H,layer:G,size:R,gaugeBg:E,gaugeOutline:C,transitionOpts:r,onComplete:d});var Y=I.selectAll("g.bullet").data(O?e:[]);Y.exit().remove();var W=I.selectAll("g.bulletaxis").data(O?e:[]);W.exit().remove(),O&&function(t,e,r,n){var i,a,s,l,c,f=r[0].trace,p=n.gauge,d=n.layer,g=n.gaugeBg,v=n.gaugeOutline,y=n.size,x=f.domain,T=n.transitionOpts,k=n.onComplete;p.enter().append("g").classed("bullet",!0),p.attr("transform",o(y.l,y.t)),d.enter().append("g").classed("bulletaxis",!0).classed("crisp",!0),d.selectAll("g.xbulletaxistick,path,text").remove();var M=y.h,A=f.gauge.bar.thickness*M,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(f._hasNumber||f._hasDelta?1-u.bulletNumberDomainSize:1);(i=w(t,f.gauge.axis))._id="xbulletaxis",i.domain=[S,E],i.setScale(),a=h.calcTicks(i),s=h.makeTransTickFn(i),l=h.getTickSigns(i)[2],c=y.t+y.h,i.visible&&(h.drawTicks(t,i,{vals:"inside"===i.ticks?h.clipEnds(i,a):a,layer:d,path:h.makeTickPath(i,c,l),transFn:s}),h.drawLabels(t,i,{vals:a,layer:d,transFn:s,labelFns:h.makeLabelFns(i,c)}));function C(t){t.attr("width",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr("x",(function(t){return i.c2p(t.range[0])})).attr("y",(function(t){return.5*(1-t.thickness)*M})).attr("height",(function(t){return t.thickness*M}))}var L=[g].concat(f.gauge.steps),I=p.selectAll("g.bg-bullet").data(L);I.enter().append("g").classed("bg-bullet",!0).append("rect"),I.select("rect").call(C).call(_),I.exit().remove();var P=p.selectAll("g.value-bullet").data([f.gauge.bar]);P.enter().append("g").classed("value-bullet",!0).append("rect"),P.select("rect").attr("height",A).attr("y",(M-A)/2).call(_),b(T)?P.select("rect").transition().duration(T.duration).ease(T.easing).each("end",(function(){k&&k()})).each("interrupt",(function(){k&&k()})).attr("width",Math.max(0,i.c2p(Math.min(f.gauge.axis.range[1],r[0].y)))):P.select("rect").attr("width","number"==typeof r[0].y?Math.max(0,i.c2p(Math.min(f.gauge.axis.range[1],r[0].y))):0);P.exit().remove();var z=r.filter((function(){return f.gauge.threshold.value})),O=p.selectAll("g.threshold-bullet").data(z);O.enter().append("g").classed("threshold-bullet",!0).append("line"),O.select("line").attr("x1",i.c2p(f.gauge.threshold.value)).attr("x2",i.c2p(f.gauge.threshold.value)).attr("y1",(1-f.gauge.threshold.thickness)/2*M).attr("y2",(1-(1-f.gauge.threshold.thickness)/2)*M).call(m.stroke,f.gauge.threshold.line.color).style("stroke-width",f.gauge.threshold.line.width),O.exit().remove();var D=p.selectAll("g.gauge-outline").data([v]);D.enter().append("g").classed("gauge-outline",!0).append("rect"),D.select("rect").call(C).call(_),D.exit().remove()}(t,0,e,{gauge:Y,layer:W,size:R,gaugeBg:E,gaugeOutline:C,transitionOpts:r,onComplete:d});var X=I.selectAll("text.title").data(e);X.exit().remove(),X.enter().append("text").classed("title",!0),X.attr("text-anchor",(function(){return O?v.right:v[L.title.align]})).text(L.title.text).call(c.font,L.title.font).call(f.convertToTspans,t),X.attr("transform",(function(){var t,e=R.l+R.w*y[L.title.align],r=u.titlePadding,n=c.bBox(X.node());if(P){if(z)if(L.gauge.axis.visible)t=c.bBox(G.node()).top-r-n.bottom;else t=R.t+R.h/2-N/2-n.bottom-r;O&&(t=A-(n.top+n.bottom)/2,e=R.l-u.bulletPadding*R.w)}else t=L._numbersTop-r-n.bottom;return o(e,t)}))}))}},{"../../components/color":643,"../../components/drawing":665,"../../constants/alignment":745,"../../lib":778,"../../lib/svg_text_utils":803,"../../plots/cartesian/axes":828,"../../plots/cartesian/axis_defaults":830,"../../plots/cartesian/layout_attributes":842,"../../plots/cartesian/position_defaults":845,"./constants":1119,d3:169}],1123:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../../plots/template_attributes").hovertemplateAttrs,a=t("../mesh3d/attributes"),o=t("../../plots/attributes"),s=t("../../lib/extend").extendFlat,l=t("../../plot_api/edit_types").overrideAll;var c=e.exports=l(s({x:{valType:"data_array"},y:{valType:"data_array"},z:{valType:"data_array"},value:{valType:"data_array"},isomin:{valType:"number"},isomax:{valType:"number"},surface:{show:{valType:"boolean",dflt:!0},count:{valType:"integer",dflt:2,min:1},fill:{valType:"number",min:0,max:1,dflt:1},pattern:{valType:"flaglist",flags:["A","B","C","D","E"],extras:["all","odd","even"],dflt:"all"}},spaceframe:{show:{valType:"boolean",dflt:!1},fill:{valType:"number",min:0,max:1,dflt:.15}},slices:{x:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}},y:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}},z:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}}},caps:{x:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}},y:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}},z:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}}},text:{valType:"string",dflt:"",arrayOk:!0},hovertext:{valType:"string",dflt:"",arrayOk:!0},hovertemplate:i(),showlegend:s({},o.showlegend,{dflt:!1})},n("",{colorAttr:"`value`",showScaleDflt:!0,editTypeOverride:"calc"}),{opacity:a.opacity,lightposition:a.lightposition,lighting:a.lighting,flatshading:a.flatshading,contour:a.contour,hoverinfo:s({},o.hoverinfo)}),"calc","nested");c.flatshading.dflt=!0,c.lighting.facenormalsepsilon.dflt=0,c.x.editType=c.y.editType=c.z.editType=c.value.editType="calc+clearAxisTypes",c.transforms=void 0},{"../../components/colorscale/attributes":650,"../../lib/extend":768,"../../plot_api/edit_types":810,"../../plots/attributes":824,"../../plots/template_attributes":906,"../mesh3d/attributes":1128}],1124:[function(t,e,r){"use strict";var n=t("../../components/colorscale/calc"),i=t("../streamtube/calc").processGrid,a=t("../streamtube/calc").filter;e.exports=function(t,e){e._len=Math.min(e.x.length,e.y.length,e.z.length,e.value.length),e._x=a(e.x,e._len),e._y=a(e.y,e._len),e._z=a(e.z,e._len),e._value=a(e.value,e._len);var r=i(e);e._gridFill=r.fill,e._Xs=r.Xs,e._Ys=r.Ys,e._Zs=r.Zs,e._len=r.len;for(var o=1/0,s=-1/0,l=0;l0;r--){var n=Math.min(e[r],e[r-1]),i=Math.max(e[r],e[r-1]);if(i>n&&n-1}function R(t,e){return null===t?e:t}function F(e,r,n){L();var i,a,o,l=[r],c=[n];if(s>=1)l=[r],c=[n];else if(s>0){var u=function(t,e){var r=t[0],n=t[1],i=t[2],a=function(t,e,r){for(var n=[],i=0;i-1?n[p]:C(d,g,v);h[p]=x>-1?x:P(d,g,v,R(e,y))}i=h[0],a=h[1],o=h[2],t._meshI.push(i),t._meshJ.push(a),t._meshK.push(o),++m}}function B(t,e,r,n){var i=t[3];in&&(i=n);for(var a=(t[3]-i)/(t[3]-e[3]+1e-9),o=[],s=0;s<4;s++)o[s]=(1-a)*t[s]+a*e[s];return o}function N(t,e,r){return t>=e&&t<=r}function j(t){var e=.001*(E-S);return t>=S-e&&t<=E+e}function U(e){for(var r=[],n=0;n<4;n++){var i=e[n];r.push([t._x[i],t._y[i],t._z[i],t._value[i]])}return r}function V(t,e,r,n,i,a){a||(a=1),r=[-1,-1,-1];var o=!1,s=[N(e[0][3],n,i),N(e[1][3],n,i),N(e[2][3],n,i)];if(!s[0]&&!s[1]&&!s[2])return!1;var l=function(t,e,r){return j(e[0][3])&&j(e[1][3])&&j(e[2][3])?(F(t,e,r),!0):a<3&&V(t,e,r,S,E,++a)};if(s[0]&&s[1]&&s[2])return l(t,e,r)||o;var c=!1;return[[0,1,2],[2,0,1],[1,2,0]].forEach((function(a){if(s[a[0]]&&s[a[1]]&&!s[a[2]]){var u=e[a[0]],f=e[a[1]],h=e[a[2]],p=B(h,u,n,i),d=B(h,f,n,i);o=l(t,[d,p,u],[-1,-1,r[a[0]]])||o,o=l(t,[u,f,d],[r[a[0]],r[a[1]],-1])||o,c=!0}})),c||[[0,1,2],[1,2,0],[2,0,1]].forEach((function(a){if(s[a[0]]&&!s[a[1]]&&!s[a[2]]){var u=e[a[0]],f=e[a[1]],h=e[a[2]],p=B(f,u,n,i),d=B(h,u,n,i);o=l(t,[d,p,u],[-1,-1,r[a[0]]])||o,c=!0}})),o}function q(t,e,r,n){var i=!1,a=U(e),o=[N(a[0][3],r,n),N(a[1][3],r,n),N(a[2][3],r,n),N(a[3][3],r,n)];if(!(o[0]||o[1]||o[2]||o[3]))return i;if(o[0]&&o[1]&&o[2]&&o[3])return g&&(i=function(t,e,r){var n=function(n,i,a){F(t,[e[n],e[i],e[a]],[r[n],r[i],r[a]])};n(0,1,2),n(3,0,1),n(2,3,0),n(1,2,3)}(t,a,e)||i),i;var s=!1;return[[0,1,2,3],[3,0,1,2],[2,3,0,1],[1,2,3,0]].forEach((function(l){if(o[l[0]]&&o[l[1]]&&o[l[2]]&&!o[l[3]]){var c=a[l[0]],u=a[l[1]],f=a[l[2]],h=a[l[3]];if(g)i=F(t,[c,u,f],[e[l[0]],e[l[1]],e[l[2]]])||i;else{var p=B(h,c,r,n),d=B(h,u,r,n),m=B(h,f,r,n);i=F(null,[p,d,m],[-1,-1,-1])||i}s=!0}})),s?i:([[0,1,2,3],[1,2,3,0],[2,3,0,1],[3,0,1,2],[0,2,3,1],[1,3,2,0]].forEach((function(l){if(o[l[0]]&&o[l[1]]&&!o[l[2]]&&!o[l[3]]){var c=a[l[0]],u=a[l[1]],f=a[l[2]],h=a[l[3]],p=B(f,c,r,n),d=B(f,u,r,n),m=B(h,u,r,n),v=B(h,c,r,n);g?(i=F(t,[c,v,p],[e[l[0]],-1,-1])||i,i=F(t,[u,d,m],[e[l[1]],-1,-1])||i):i=function(t,e,r){var n=function(n,i,a){F(t,[e[n],e[i],e[a]],[r[n],r[i],r[a]])};n(0,1,2),n(2,3,0)}(null,[p,d,m,v],[-1,-1,-1,-1])||i,s=!0}})),s||[[0,1,2,3],[1,2,3,0],[2,3,0,1],[3,0,1,2]].forEach((function(l){if(o[l[0]]&&!o[l[1]]&&!o[l[2]]&&!o[l[3]]){var c=a[l[0]],u=a[l[1]],f=a[l[2]],h=a[l[3]],p=B(u,c,r,n),d=B(f,c,r,n),m=B(h,c,r,n);g?(i=F(t,[c,p,d],[e[l[0]],-1,-1])||i,i=F(t,[c,d,m],[e[l[0]],-1,-1])||i,i=F(t,[c,m,p],[e[l[0]],-1,-1])||i):i=F(null,[p,d,m],[-1,-1,-1])||i,s=!0}})),i)}function H(t,e,r,n,i,a,o,s,l,c,u){var f=!1;return d&&(D(t,"A")&&(f=q(null,[e,r,n,a],c,u)||f),D(t,"B")&&(f=q(null,[r,n,i,l],c,u)||f),D(t,"C")&&(f=q(null,[r,a,o,l],c,u)||f),D(t,"D")&&(f=q(null,[n,a,s,l],c,u)||f),D(t,"E")&&(f=q(null,[r,n,a,l],c,u)||f)),g&&(f=q(t,[r,n,a,l],c,u)||f),f}function G(t,e,r,n,i,a,o,s){return[!0===s[0]||V(t,U([e,r,n]),[e,r,n],a,o),!0===s[1]||V(t,U([n,i,e]),[n,i,e],a,o)]}function Y(t,e,r,n,i,a,o,s,l){return s?G(t,e,r,i,n,a,o,l):G(t,r,i,n,e,a,o,l)}function W(t,e,r,n,i,a,o){var s,l,c,u,f=!1,h=function(){f=V(t,[s,l,c],[-1,-1,-1],i,a)||f,f=V(t,[c,u,s],[-1,-1,-1],i,a)||f},p=o[0],d=o[1],g=o[2];return p&&(s=z(U([k(e,r-0,n-0)])[0],U([k(e-1,r-0,n-0)])[0],p),l=z(U([k(e,r-0,n-1)])[0],U([k(e-1,r-0,n-1)])[0],p),c=z(U([k(e,r-1,n-1)])[0],U([k(e-1,r-1,n-1)])[0],p),u=z(U([k(e,r-1,n-0)])[0],U([k(e-1,r-1,n-0)])[0],p),h()),d&&(s=z(U([k(e-0,r,n-0)])[0],U([k(e-0,r-1,n-0)])[0],d),l=z(U([k(e-0,r,n-1)])[0],U([k(e-0,r-1,n-1)])[0],d),c=z(U([k(e-1,r,n-1)])[0],U([k(e-1,r-1,n-1)])[0],d),u=z(U([k(e-1,r,n-0)])[0],U([k(e-1,r-1,n-0)])[0],d),h()),g&&(s=z(U([k(e-0,r-0,n)])[0],U([k(e-0,r-0,n-1)])[0],g),l=z(U([k(e-0,r-1,n)])[0],U([k(e-0,r-1,n-1)])[0],g),c=z(U([k(e-1,r-1,n)])[0],U([k(e-1,r-1,n-1)])[0],g),u=z(U([k(e-1,r-0,n)])[0],U([k(e-1,r-0,n-1)])[0],g),h()),f}function X(t,e,r,n,i,a,o,s,l,c,u,f){var h=t;return f?(d&&"even"===t&&(h=null),H(h,e,r,n,i,a,o,s,l,c,u)):(d&&"odd"===t&&(h=null),H(h,l,s,o,a,i,n,r,e,c,u))}function Z(t,e,r,n,i){for(var a=[],o=0,s=0;sMath.abs(d-A)?[M,d]:[d,A];$(e,T[0],T[1])}}var C=[[Math.min(S,A),Math.max(S,A)],[Math.min(M,E),Math.max(M,E)]];["x","y","z"].forEach((function(e){for(var r=[],n=0;n0&&(u.push(p.id),"x"===e?f.push([p.distRatio,0,0]):"y"===e?f.push([0,p.distRatio,0]):f.push([0,0,p.distRatio]))}else c=nt(1,"x"===e?b-1:"y"===e?_-1:w-1);u.length>0&&(r[i]="x"===e?tt(null,u,a,o,f,r[i]):"y"===e?et(null,u,a,o,f,r[i]):rt(null,u,a,o,f,r[i]),i++),c.length>0&&(r[i]="x"===e?Z(null,c,a,o,r[i]):"y"===e?J(null,c,a,o,r[i]):K(null,c,a,o,r[i]),i++)}var d=t.caps[e];d.show&&d.fill&&(O(d.fill),r[i]="x"===e?Z(null,[0,b-1],a,o,r[i]):"y"===e?J(null,[0,_-1],a,o,r[i]):K(null,[0,w-1],a,o,r[i]),i++)}})),0===m&&I(),t._meshX=n,t._meshY=i,t._meshZ=a,t._meshIntensity=o,t._Xs=v,t._Ys=y,t._Zs=x}(),t}e.exports={findNearestOnAxis:l,generateIsoMeshes:h,createIsosurfaceTrace:function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new c(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}}},{"../../components/colorscale":655,"../../lib/gl_format_color":774,"../../lib/str2rgbarray":802,"../../plots/gl3d/zip3":881,"gl-mesh3d":309}],1126:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../registry"),a=t("./attributes"),o=t("../../components/colorscale/defaults");function s(t,e,r,n,a){var s=a("isomin"),l=a("isomax");null!=l&&null!=s&&s>l&&(e.isomin=null,e.isomax=null);var c=a("x"),u=a("y"),f=a("z"),h=a("value");c&&c.length&&u&&u.length&&f&&f.length&&h&&h.length?(i.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y","z"],n),["x","y","z"].forEach((function(t){var e="caps."+t;a(e+".show")&&a(e+".fill");var r="slices."+t;a(r+".show")&&(a(r+".fill"),a(r+".locations"))})),a("spaceframe.show")&&a("spaceframe.fill"),a("surface.show")&&(a("surface.count"),a("surface.fill"),a("surface.pattern")),a("contour.show")&&(a("contour.color"),a("contour.width")),["text","hovertext","hovertemplate","lighting.ambient","lighting.diffuse","lighting.specular","lighting.roughness","lighting.fresnel","lighting.vertexnormalsepsilon","lighting.facenormalsepsilon","lightposition.x","lightposition.y","lightposition.z","flatshading","opacity"].forEach((function(t){a(t)})),o(t,e,n,a,{prefix:"",cLetter:"c"}),e._length=null):e.visible=!1}e.exports={supplyDefaults:function(t,e,r,i){s(t,e,r,i,(function(r,i){return n.coerce(t,e,a,r,i)}))},supplyIsoDefaults:s}},{"../../components/colorscale/defaults":653,"../../lib":778,"../../registry":911,"./attributes":1123}],1127:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults").supplyDefaults,calc:t("./calc"),colorbar:{min:"cmin",max:"cmax"},plot:t("./convert").createIsosurfaceTrace,moduleType:"trace",name:"isosurface",basePlotModule:t("../../plots/gl3d"),categories:["gl3d","showLegend"],meta:{}}},{"../../plots/gl3d":870,"./attributes":1123,"./calc":1124,"./convert":1125,"./defaults":1126}],1128:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../../plots/template_attributes").hovertemplateAttrs,a=t("../surface/attributes"),o=t("../../plots/attributes"),s=t("../../lib/extend").extendFlat;e.exports=s({x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},z:{valType:"data_array",editType:"calc+clearAxisTypes"},i:{valType:"data_array",editType:"calc"},j:{valType:"data_array",editType:"calc"},k:{valType:"data_array",editType:"calc"},text:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertemplate:i({editType:"calc"}),delaunayaxis:{valType:"enumerated",values:["x","y","z"],dflt:"z",editType:"calc"},alphahull:{valType:"number",dflt:-1,editType:"calc"},intensity:{valType:"data_array",editType:"calc"},intensitymode:{valType:"enumerated",values:["vertex","cell"],dflt:"vertex",editType:"calc"},color:{valType:"color",editType:"calc"},vertexcolor:{valType:"data_array",editType:"calc"},facecolor:{valType:"data_array",editType:"calc"},transforms:void 0},n("",{colorAttr:"`intensity`",showScaleDflt:!0,editTypeOverride:"calc"}),{opacity:a.opacity,flatshading:{valType:"boolean",dflt:!1,editType:"calc"},contour:{show:s({},a.contours.x.show,{}),color:a.contours.x.color,width:a.contours.x.width,editType:"calc"},lightposition:{x:s({},a.lightposition.x,{dflt:1e5}),y:s({},a.lightposition.y,{dflt:1e5}),z:s({},a.lightposition.z,{dflt:0}),editType:"calc"},lighting:s({vertexnormalsepsilon:{valType:"number",min:0,max:1,dflt:1e-12,editType:"calc"},facenormalsepsilon:{valType:"number",min:0,max:1,dflt:1e-6,editType:"calc"},editType:"calc"},a.lighting),hoverinfo:s({},o.hoverinfo,{editType:"calc"}),showlegend:s({},o.showlegend,{dflt:!1})})},{"../../components/colorscale/attributes":650,"../../lib/extend":768,"../../plots/attributes":824,"../../plots/template_attributes":906,"../surface/attributes":1311}],1129:[function(t,e,r){"use strict";var n=t("../../components/colorscale/calc");e.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:"",cLetter:"c"})}},{"../../components/colorscale/calc":651}],1130:[function(t,e,r){"use strict";var n=t("gl-mesh3d"),i=t("delaunay-triangulate"),a=t("alpha-shape"),o=t("convex-hull"),s=t("../../lib/gl_format_color").parseColorScale,l=t("../../lib/str2rgbarray"),c=t("../../components/colorscale").extractOpts,u=t("../../plots/gl3d/zip3");function f(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name="",this.color="#fff",this.data=null,this.showContour=!1}var h=f.prototype;function p(t){for(var e=[],r=t.length,n=0;n=e-.5)return!1;return!0}h.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return Array.isArray(r)&&void 0!==r[e]?t.textLabel=r[e]:r&&(t.textLabel=r),!0}},h.update=function(t){var e=this.scene,r=e.fullSceneLayout;this.data=t;var n,f=t.x.length,h=u(d(r.xaxis,t.x,e.dataScale[0],t.xcalendar),d(r.yaxis,t.y,e.dataScale[1],t.ycalendar),d(r.zaxis,t.z,e.dataScale[2],t.zcalendar));if(t.i&&t.j&&t.k){if(t.i.length!==t.j.length||t.j.length!==t.k.length||!m(t.i,f)||!m(t.j,f)||!m(t.k,f))return;n=u(g(t.i),g(t.j),g(t.k))}else n=0===t.alphahull?o(h):t.alphahull>0?a(t.alphahull,h):function(t,e){for(var r=["x","y","z"].indexOf(t),n=[],a=e.length,o=0;ov):m=M>w,v=M;var A=c(w,T,k,M);A.pos=_,A.yc=(w+M)/2,A.i=b,A.dir=m?"increasing":"decreasing",A.x=A.pos,A.y=[k,T],y&&(A.orig_p=r[b]),d&&(A.tx=e.text[b]),g&&(A.htx=e.hovertext[b]),x.push(A)}else x.push({pos:_,empty:!0})}return e._extremes[l._id]=a.findExtremes(l,n.concat(h,f),{padded:!0}),x.length&&(x[0].t={labels:{open:i(t,"open:")+" ",high:i(t,"high:")+" ",low:i(t,"low:")+" ",close:i(t,"close:")+" "}}),x}e.exports={calc:function(t,e){var r=a.getFromId(t,e.xaxis),i=a.getFromId(t,e.yaxis),s=function(t,e,r){var i=r._minDiff;if(!i){var a,s=t._fullData,l=[];for(i=1/0,a=0;a"+c.labels[x]+n.hoverLabelText(s,b):((y=i.extendFlat({},h)).y0=y.y1=_,y.yLabelVal=b,y.yLabel=c.labels[x]+n.hoverLabelText(s,b),y.name="",f.push(y),m[b]=y)}return f}function h(t,e,r,i){var a=t.cd,o=t.ya,l=a[0].trace,f=a[0].t,h=u(t,e,r,i);if(!h)return[];var p=a[h.index],d=h.index=p.i,g=p.dir;function m(t){return f.labels[t]+n.hoverLabelText(o,l[t][d])}var v=p.hi||l.hoverinfo,y=v.split("+"),x="all"===v,b=x||-1!==y.indexOf("y"),_=x||-1!==y.indexOf("text"),w=b?[m("open"),m("high"),m("low"),m("close")+" "+c[g]]:[];return _&&s(p,l,w),h.extraText=w.join("
"),h.y0=h.y1=o.c2p(p.yc,!0),[h]}e.exports={hoverPoints:function(t,e,r,n){return t.cd[0].trace.hoverlabel.split?f(t,e,r,n):h(t,e,r,n)},hoverSplit:f,hoverOnPoints:h}},{"../../components/color":643,"../../components/fx":683,"../../constants/delta.js":747,"../../lib":778,"../../plots/cartesian/axes":828}],1137:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"ohlc",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","showLegend"],meta:{},attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc").calc,plot:t("./plot"),style:t("./style"),hoverPoints:t("./hover").hoverPoints,selectPoints:t("./select")}},{"../../plots/cartesian":841,"./attributes":1133,"./calc":1134,"./defaults":1135,"./hover":1136,"./plot":1139,"./select":1140,"./style":1141}],1138:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib");e.exports=function(t,e,r,a){var o=r("x"),s=r("open"),l=r("high"),c=r("low"),u=r("close");if(r("hoverlabel.split"),n.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x"],a),s&&l&&c&&u){var f=Math.min(s.length,l.length,c.length,u.length);return o&&(f=Math.min(f,i.minRowLength(o))),e._length=f,f}}},{"../../lib":778,"../../registry":911}],1139:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../lib");e.exports=function(t,e,r,a){var o=e.yaxis,s=e.xaxis,l=!!s.rangebreaks;i.makeTraceGroups(a,r,"trace ohlc").each((function(t){var e=n.select(this),r=t[0],a=r.t;if(!0!==r.trace.visible||a.empty)e.remove();else{var c=a.tickLen,u=e.selectAll("path").data(i.identity);u.enter().append("path"),u.exit().remove(),u.attr("d",(function(t){if(t.empty)return"M0,0Z";var e=s.c2p(t.pos-c,!0),r=s.c2p(t.pos+c,!0),n=l?(e+r)/2:s.c2p(t.pos,!0);return"M"+e+","+o.c2p(t.o,!0)+"H"+n+"M"+n+","+o.c2p(t.h,!0)+"V"+o.c2p(t.l,!0)+"M"+r+","+o.c2p(t.c,!0)+"H"+n}))}}))}},{"../../lib":778,d3:169}],1140:[function(t,e,r){"use strict";e.exports=function(t,e){var r,n=t.cd,i=t.xaxis,a=t.yaxis,o=[],s=n[0].t.bPos||0;if(!1===e)for(r=0;r=t.length)return!1;if(void 0!==e[t[r]])return!1;e[t[r]]=!0}return!0}(t.map((function(t){return t.displayindex}))))for(e=0;e0;c&&(o="array");var u=r("categoryorder",o);"array"===u?(r("categoryarray"),r("ticktext")):(delete t.categoryarray,delete t.ticktext),c||"array"!==u||(e.categoryorder="trace")}}e.exports=function(t,e,r,f){function h(r,i){return n.coerce(t,e,l,r,i)}var p=s(t,e,{name:"dimensions",handleItemDefaults:u}),d=function(t,e,r,o,s){s("line.shape"),s("line.hovertemplate");var l=s("line.color",o.colorway[0]);if(i(t,"line")&&n.isArrayOrTypedArray(l)){if(l.length)return s("line.colorscale"),a(t,e,o,s,{prefix:"line.",cLetter:"c"}),l.length;e.line.color=r}return 1/0}(t,e,r,f,h);o(e,f,h),Array.isArray(p)&&p.length||(e.visible=!1),c(e,p,"values",d),h("hoveron"),h("hovertemplate"),h("arrangement"),h("bundlecolors"),h("sortpaths"),h("counts");var g={family:f.font.family,size:Math.round(f.font.size),color:f.font.color};n.coerceFont(h,"labelfont",g);var m={family:f.font.family,size:Math.round(f.font.size/1.2),color:f.font.color};n.coerceFont(h,"tickfont",m)}},{"../../components/colorscale/defaults":653,"../../components/colorscale/helpers":654,"../../lib":778,"../../plots/array_container_defaults":823,"../../plots/domain":855,"../parcoords/merge_length":1158,"./attributes":1142}],1146:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),plot:t("./plot"),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcats",basePlotModule:t("./base_plot"),categories:["noOpacity"],meta:{}}},{"./attributes":1142,"./base_plot":1143,"./calc":1144,"./defaults":1145,"./plot":1148}],1147:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../plot_api/plot_api"),a=t("../../components/fx"),o=t("../../lib"),s=o.strTranslate,l=t("../../components/drawing"),c=t("tinycolor2"),u=t("../../lib/svg_text_utils");function f(t,e,r,i){var a=t.map(R.bind(0,e,r)),c=i.selectAll("g.parcatslayer").data([null]);c.enter().append("g").attr("class","parcatslayer").style("pointer-events","all");var f=c.selectAll("g.trace.parcats").data(a,h),v=f.enter().append("g").attr("class","trace parcats");f.attr("transform",(function(t){return s(t.x,t.y)})),v.append("g").attr("class","paths");var y=f.select("g.paths").selectAll("path.path").data((function(t){return t.paths}),h);y.attr("fill",(function(t){return t.model.color}));var _=y.enter().append("path").attr("class","path").attr("stroke-opacity",0).attr("fill",(function(t){return t.model.color})).attr("fill-opacity",0);b(_),y.attr("d",(function(t){return t.svgD})),_.empty()||y.sort(d),y.exit().remove(),y.on("mouseover",g).on("mouseout",m).on("click",x),v.append("g").attr("class","dimensions");var k=f.select("g.dimensions").selectAll("g.dimension").data((function(t){return t.dimensions}),h);k.enter().append("g").attr("class","dimension"),k.attr("transform",(function(t){return s(t.x,0)})),k.exit().remove();var M=k.selectAll("g.category").data((function(t){return t.categories}),h),A=M.enter().append("g").attr("class","category");M.attr("transform",(function(t){return s(0,t.y)})),A.append("rect").attr("class","catrect").attr("pointer-events","none"),M.select("rect.catrect").attr("fill","none").attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})),w(A);var S=M.selectAll("rect.bandrect").data((function(t){return t.bands}),h);S.each((function(){o.raiseToTop(this)})),S.attr("fill",(function(t){return t.color}));var z=S.enter().append("rect").attr("class","bandrect").attr("stroke-opacity",0).attr("fill",(function(t){return t.color})).attr("fill-opacity",0);S.attr("fill",(function(t){return t.color})).attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})).attr("y",(function(t){return t.y})).attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"perpendicular"===t.parcatsViewModel.arrangement?"ns-resize":"move"})),T(z),S.exit().remove(),A.append("text").attr("class","catlabel").attr("pointer-events","none");var O=e._fullLayout.paper_bgcolor;M.select("text.catlabel").attr("text-anchor",(function(t){return p(t)?"start":"end"})).attr("alignment-baseline","middle").style("text-shadow",O+" -1px 1px 2px, "+O+" 1px 1px 2px, "+O+" 1px -1px 2px, "+O+" -1px -1px 2px").style("fill","rgb(0, 0, 0)").attr("x",(function(t){return p(t)?t.width+5:-5})).attr("y",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){l.font(n.select(this),t.parcatsViewModel.categorylabelfont),u.convertToTspans(n.select(this),e)})),A.append("text").attr("class","dimlabel"),M.select("text.dimlabel").attr("text-anchor","middle").attr("alignment-baseline","baseline").attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"ew-resize"})).attr("x",(function(t){return t.width/2})).attr("y",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){l.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll("rect.bandrect").on("mouseover",E).on("mouseout",C),M.exit().remove(),k.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on("dragstart",L).on("drag",I).on("dragend",P)),f.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll("g.paths").selectAll("path.path"),t.dimensionSelection=n.select(this).selectAll("g.dimensions").selectAll("g.dimension")})),f.exit().remove()}function h(t){return t.key}function p(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function d(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor"),C=n.mouse(f)[0];a.loneHover({trace:h,x:b-d.left+g.left,y:w-d.top+g.top,text:E,color:t.model.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:10,fontColor:T,idealAlign:C1&&h.displayInd===f.dimensions.length-1?(i=c.left,a="left"):(i=c.left+c.width,a="right");var g=u.model.count,m=u.model.categoryLabel,v=g/u.parcatsViewModel.model.count,y={countLabel:g,categoryLabel:m,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf("count")&&x.push(["Count:",y.countLabel].join(" ")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf("probability")&&x.push(["P("+y.categoryLabel+"):",y.probabilityLabel].join(" "));var b=x.join("
");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:"lightgray",borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:12,fontColor:"black",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:y,eventData:[{data:p._input,fullData:p,count:g,category:m,probability:v}]}}function E(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,s=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron;if("color"===l?(!function(t){var e=n.select(t).datum(),r=k(e);_(r),r.each((function(){o.raiseToTop(this)})),n.select(t.parentNode).selectAll("rect.bandrect").filter((function(t){return t.color===e.color})).each((function(){o.raiseToTop(this),n.select(this).attr("stroke","black").attr("stroke-width",1.5)}))}(this),A(this,"plotly_hover",n.event)):(!function(t){n.select(t.parentNode).selectAll("rect.bandrect").each((function(t){var e=k(t);_(e),e.each((function(){o.raiseToTop(this)}))})),n.select(t.parentNode).select("rect.catrect").attr("stroke","black").attr("stroke-width",2.5)}(this),M(this,"plotly_hover",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none"))"category"===l?e=S(r,s,this):"color"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),u=n.select(r).datum(),f=u.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,g=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a="left"):(i=l.left+l.width,a="right");var m=f.model.categoryLabel,v=u.parcatsViewModel.model.count,y=0;u.categoryViewModel.bands.forEach((function(t){t.color===u.color&&(y+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===u.color&&(b+=t.model.count)}));var _=y/v,w=y/b,T=y/x,k={countLabel:v,categoryLabel:m,probabilityLabel:_.toFixed(3)},M=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf("count")&&M.push(["Count:",k.countLabel].join(" ")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf("probability")&&(M.push("P(color \u2229 "+m+"): "+k.probabilityLabel),M.push("P("+m+" | color): "+w.toFixed(3)),M.push("P(color | "+m+"): "+T.toFixed(3)));var A=M.join("
"),S=c.mostReadable(u.color,["black","white"]);return{trace:d,x:o*(i-e.left),y:s*(g-e.top),text:A,color:u.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:m,count:v,probability:_,categorycount:x,colorcount:b,bandcolorcount:y}]}}(r,s,this):"dimension"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll("g.category").select("rect.catrect").each((function(){i.push(S(t,e,this))})),i}(r,s,this)),e&&a.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r})}}function C(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(b(e.pathSelection),w(e.dimensionSelection.selectAll("g.category")),T(e.dimensionSelection.selectAll("g.category").selectAll("rect.bandrect")),a.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(d),-1===e.hoverinfoItems.indexOf("skip"))){"color"===t.parcatsViewModel.hoveron?A(this,"plotly_unhover",n.event):M(this,"plotly_unhover",n.event)}}function L(t){"fixed"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll("g.category").select("rect.catrect").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,o.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll("rect.bandrect").each((function(e){e.yf.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||"freeform"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragXp.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}N(t.parcatsViewModel),B(t.parcatsViewModel),D(t.parcatsViewModel),O(t.parcatsViewModel)}}function P(t){if("fixed"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll("text").attr("font-weight","normal");var e={},r=z(t.parcatsViewModel),a=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==a[e]}));o&&a.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e["dimensions["+i+"].displayindex"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e["dimensions["+t.model.containerInd+"].categoryarray"]=[u],e["dimensions["+t.model.containerInd+"].ticktext"]=[f],e["dimensions["+t.model.containerInd+"].categoryorder"]="array"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")&&!t.dragHasMoved&&t.potentialClickBand&&("color"===t.parcatsViewModel.hoveron?A(t.potentialClickBand,"plotly_click",n.event.sourceEvent):M(t.potentialClickBand,"plotly_click",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,N(t.parcatsViewModel),B(t.parcatsViewModel),n.transition().duration(300).ease("cubic-in-out").each((function(){D(t.parcatsViewModel,!0),O(t.parcatsViewModel,!0)})).each("end",(function(){(o||s)&&i.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function z(t){for(var e,r=t.graphDiv._fullData,n=0;n=0;s--)u+="C"+c[s]+","+(e[s+1]+i)+" "+l[s]+","+(e[s]+i)+" "+(t[s]+r[s])+","+(e[s]+i),u+="l-"+r[s]+",0 ";return u+="Z"}function B(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=f(e),i=f(r);return"backward"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),ni?1:0}));for(var h=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),g=0;g0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b1?(t.width-80-16)/(n-1):0)*i;var a,o,s,l,c,u=[],f=t.model.maxCats,h=e.categories.length,p=e.count,d=t.height-8*(f-1),g=8*(f-h)/2,m=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(m.sort((function(t,e){return t.displayInd-e.displayInd})),c=0;c0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:a,y:null!==o.dragY?o.dragY:g,bands:[],parcatsViewModel:t},g=g+a+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}e.exports=function(t,e,r,n){f(r,t,n,e)}},{"../../components/drawing":665,"../../components/fx":683,"../../lib":778,"../../lib/svg_text_utils":803,"../../plot_api/plot_api":814,d3:169,tinycolor2:576}],1148:[function(t,e,r){"use strict";var n=t("./parcats");e.exports=function(t,e,r,i){var a=t._fullLayout,o=a._paper,s=a._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,i)}},{"./parcats":1147}],1149:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../../plots/cartesian/layout_attributes"),a=t("../../plots/font_attributes"),o=t("../../plots/domain").attributes,s=t("../../lib/extend").extendFlat,l=t("../../plot_api/plot_template").templatedArray;e.exports={domain:o({name:"parcoords",trace:!0,editType:"plot"}),labelangle:{valType:"angle",dflt:0,editType:"plot"},labelside:{valType:"enumerated",values:["top","bottom"],dflt:"top",editType:"plot"},labelfont:a({editType:"plot"}),tickfont:a({editType:"plot"}),rangefont:a({editType:"plot"}),dimensions:l("dimension",{label:{valType:"string",editType:"plot"},tickvals:s({},i.tickvals,{editType:"plot"}),ticktext:s({},i.ticktext,{editType:"plot"}),tickformat:s({},i.tickformat,{editType:"plot"}),visible:{valType:"boolean",dflt:!0,editType:"plot"},range:{valType:"info_array",items:[{valType:"number",editType:"plot"},{valType:"number",editType:"plot"}],editType:"plot"},constraintrange:{valType:"info_array",freeLength:!0,dimensions:"1-2",items:[{valType:"number",editType:"plot"},{valType:"number",editType:"plot"}],editType:"plot"},multiselect:{valType:"boolean",dflt:!0,editType:"plot"},values:{valType:"data_array",editType:"calc"},editType:"calc"}),line:s({editType:"calc"},n("line",{colorscaleDflt:"Viridis",autoColorDflt:!1,editTypeOverride:"calc"}))}},{"../../components/colorscale/attributes":650,"../../lib/extend":768,"../../plot_api/plot_template":817,"../../plots/cartesian/layout_attributes":842,"../../plots/domain":855,"../../plots/font_attributes":856}],1150:[function(t,e,r){"use strict";var n=t("./constants"),i=t("d3"),a=t("../../lib/gup").keyFun,o=t("../../lib/gup").repeat,s=t("../../lib").sorterAsc,l=t("../../lib").strTranslate,c=n.bar.snapRatio;function u(t,e){return t*(1-c)+e*c}var f=n.bar.snapClose;function h(t,e){return t*(1-f)+e*f}function p(t,e,r,n){if(function(t,e){for(var r=0;r=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var i=t?-1:1,a=0,o=e.length-1;if(i<0){var s=a;a=o,o=s}for(var l=e[a],c=l,f=a;i*fe){h=r;break}}if(a=u,isNaN(a)&&(a=isNaN(f)||isNaN(h)?isNaN(f)?h:f:e-c[f][1]t[1]+r||e=.9*t[1]+.1*t[0]?"n":e<=.9*t[0]+.1*t[1]?"s":"ns"}(d,e);g&&(o.interval=l[a],o.intervalPix=d,o.region=g)}}if(t.ordinal&&!o.region){var m=t.unitTickvals,y=t.unitToPaddedPx.invert(e);for(r=0;r=x[0]&&y<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function w(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.brush.svgBrush;a.wasDragged=!0,a._dragging=!0,a.grabbingBar?a.newExtent=[r-a.grabPoint,r+a.barLength-a.grabPoint].map(e.unitToPaddedPx.invert):a.newExtent=[a.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,a.extent=a.stayingIntervals.concat([a.newExtent]),a.brushCallback(e),b(t.parentNode)}function T(t,e){var r=_(e,e.height-i.mouse(t)[1]-2*n.verticalPadding),a="crosshair";r.clickableOrdinalRange?a="pointer":r.region&&(a=r.region+"-resize"),i.select(document.body).style("cursor",a)}function k(t){t.on("mousemove",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on("mouseleave",(function(t){t.parent.inBrushDrag||y()})).call(i.behavior.drag().on("dragstart",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar="ns"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l["s"===s.region?1:0]:a,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on("drag",(function(t){w(this,t)})).on("dragend",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,y(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&A(r)):A(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||A(r),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function M(t,e){return t[0]-e[0]}function A(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(M)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t){var e=t.selectAll("."+n.cn.axisBrush).data(o,a);e.enter().append("g").classed(n.cn.axisBrush,!0),function(t){var e=t.selectAll(".background").data(o);e.enter().append("rect").classed("background",!0).call(d).call(g).style("pointer-events","auto").attr("transform",l(0,n.verticalPadding)),e.call(k).attr("height",(function(t){return t.height-n.verticalPadding}));var r=t.selectAll(".highlight-shadow").data(o);r.enter().append("line").classed("highlight-shadow",!0).attr("x",-n.bar.width/2).attr("stroke-width",n.bar.width+n.bar.strokeWidth).attr("stroke",n.bar.strokeColor).attr("opacity",n.bar.strokeOpacity).attr("stroke-linecap","butt"),r.attr("y1",(function(t){return t.height})).call(x);var i=t.selectAll(".highlight").data(o);i.enter().append("line").classed("highlight",!0).attr("x",-n.bar.width/2).attr("stroke-width",n.bar.width-n.bar.strokeWidth).attr("stroke",n.bar.fillColor).attr("opacity",n.bar.fillOpacity).attr("stroke-linecap","butt"),i.attr("y1",(function(t){return t.height})).call(x)}(e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(M)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{"../../lib":778,"../../lib/gup":775,"./constants":1153,d3:169}],1151:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../plots/get_data").getModuleCalcData,a=t("./plot"),o=t("../../constants/xmlns_namespaces");r.name="parcoords",r.plot=function(t){var e=i(t.calcdata,"parcoords")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has("parcoords"),a=e._has&&e._has("parcoords");i&&!a&&(n._paperdiv.selectAll(".parcoords").remove(),n._glimages.selectAll("*").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(".svg-container");r.filter((function(t,e){return e===r.size()-1})).selectAll(".gl-canvas-context, .gl-canvas-focus").each((function(){var t=this.toDataURL("image/png");e.append("svg:image").attr({xmlns:o.svg,"xlink:href":t,preserveAspectRatio:"none",x:0,y:0,width:this.width,height:this.height})})),window.setTimeout((function(){n.selectAll("#filterBarPattern").attr("id","filterBarPattern")}),60)}},{"../../constants/xmlns_namespaces":754,"../../plots/get_data":865,"./plot":1160,d3:169}],1152:[function(t,e,r){"use strict";var n=t("../../lib").isArrayOrTypedArray,i=t("../../components/colorscale"),a=t("../../lib/gup").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,"line")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:"line",cLetter:"c"})):(r=function(t){for(var e=new Array(t),r=0;rf&&(n.log("parcoords traces support up to "+f+" dimensions at the moment"),d.splice(f));var g=s(t,e,{name:"dimensions",layout:l,handleItemDefaults:p}),m=function(t,e,r,o,s){var l=s("line.color",r);if(i(t,"line")&&n.isArrayOrTypedArray(l)){if(l.length)return s("line.colorscale"),a(t,e,o,s,{prefix:"line.",cLetter:"c"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(g)&&g.length||(e.visible=!1),h(e,g,"values",m);var v={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,"labelfont",v),n.coerceFont(u,"tickfont",v),n.coerceFont(u,"rangefont",v),u("labelangle"),u("labelside")}},{"../../components/colorscale/defaults":653,"../../components/colorscale/helpers":654,"../../lib":778,"../../plots/array_container_defaults":823,"../../plots/cartesian/axes":828,"../../plots/domain":855,"./attributes":1149,"./axisbrush":1150,"./constants":1153,"./merge_length":1158}],1155:[function(t,e,r){"use strict";var n=t("../../lib").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!("visible"in t)}},{"../../lib":778}],1156:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),plot:t("./plot"),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcoords",basePlotModule:t("./base_plot"),categories:["gl","regl","noOpacity","noHover"],meta:{}}},{"./attributes":1149,"./base_plot":1151,"./calc":1152,"./defaults":1154,"./plot":1160}],1157:[function(t,e,r){"use strict";var n=t("glslify"),i=n(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\n p17_20, p21_24, p25_28, p29_32,\n p33_36, p37_40, p41_44, p45_48,\n p49_52, p53_56, p57_60, colors;\n\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\n loA, hiA, loB, hiB, loC, hiC, loD, hiD;\n\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\nuniform sampler2D mask, palette;\nuniform float maskHeight;\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\nuniform vec4 contextColor;\n\nbool isPick = (drwLayer > 1.5);\nbool isContext = (drwLayer < 0.5);\n\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\n\nfloat val(mat4 p, mat4 v) {\n return dot(matrixCompMult(p, v) * UNITS, UNITS);\n}\n\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\n float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\n float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\n return y1 * (1.0 - ratio) + y2 * ratio;\n}\n\nint iMod(int a, int b) {\n return a - b * (a / b);\n}\n\nbool fOutside(float p, float lo, float hi) {\n return (lo < hi) && (lo > p || p > hi);\n}\n\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\n return (\n fOutside(p[0], lo[0], hi[0]) ||\n fOutside(p[1], lo[1], hi[1]) ||\n fOutside(p[2], lo[2], hi[2]) ||\n fOutside(p[3], lo[3], hi[3])\n );\n}\n\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\n return (\n vOutside(p[0], lo[0], hi[0]) ||\n vOutside(p[1], lo[1], hi[1]) ||\n vOutside(p[2], lo[2], hi[2]) ||\n vOutside(p[3], lo[3], hi[3])\n );\n}\n\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\n return mOutside(A, loA, hiA) ||\n mOutside(B, loB, hiB) ||\n mOutside(C, loC, hiC) ||\n mOutside(D, loD, hiD);\n}\n\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\n mat4 pnts[4];\n pnts[0] = A;\n pnts[1] = B;\n pnts[2] = C;\n pnts[3] = D;\n\n for(int i = 0; i < 4; ++i) {\n for(int j = 0; j < 4; ++j) {\n for(int k = 0; k < 4; ++k) {\n if(0 == iMod(\n int(255.0 * texture2D(mask,\n vec2(\n (float(i * 2 + j / 2) + 0.5) / 8.0,\n (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\n ))[3]\n ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\n 2\n )) return true;\n }\n }\n }\n return false;\n}\n\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\n float x = 0.5 * sign(v) + 0.5;\n float y = axisY(x, A, B, C, D);\n float z = 1.0 - abs(v);\n\n z += isContext ? 0.0 : 2.0 * float(\n outsideBoundingBox(A, B, C, D) ||\n outsideRasterMask(A, B, C, D)\n );\n\n return vec4(\n 2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\n z,\n 1.0\n );\n}\n\nvoid main() {\n mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\n mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\n mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\n mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\n\n float v = colors[3];\n\n gl_Position = position(isContext, v, A, B, C, D);\n\n fragColor =\n isContext ? vec4(contextColor) :\n isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\n}\n"]),a=n(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n gl_FragColor = fragColor;\n}\n"]),o=t("./constants").maxDimensionCount,s=t("../../lib"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:"rgba",type:"uint8",mag:"nearest",min:"nearest"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),i=0,a=0;au&&(u=t[i].dim1.canvasX,o=i);0===s&&f(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<l.length?l[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<l.length;e++){var s=e%8,c=(e-s)/8,u=Math.pow(2,s),f=l[e].brush.filter.get();if(!(f.length<2)){var h=x(f[0])[1];for(r=1;r<f.length;r++){var p=x(f[r]);for(n=h+1;n<p[0];n++)o[8*n+c]&=~u;h=Math.max(h,p[1])}}}var d={shape:[8,2048],format:"alpha",type:"uint8",mag:"nearest",min:"nearest",data:o};return b?b(d):b=T.texture(d),{maskTexture:b,maskHeight:2048,loA:i[0].slice(0,16),loB:i[0].slice(16,32),loC:i[0].slice(32,48),loD:i[0].slice(48,64),hiA:i[1].slice(0,16),hiB:i[1].slice(16,32),hiC:i[1].slice(32,48),hiD:i[1].slice(48,64)}}(_);for(i=0;i<s;i++){var d=t[i],g=d.dim0.crossfilterDimensionIndex,v=d.dim1.crossfilterDimensionIndex,M=d.canvasX,A=d.canvasY,C=M+d.panelSizeX;if(e||!S[g]||S[g][0]!==M||S[g][1]!==C){S[g]=[M,C];var L=y(r,a,o,i,g,v,M,A,d.panelSizeX,d.panelSizeY,d.dim0.crossfilterDimensionIndex,_?0:w?2:1,p);k.clearOnly=n;var I=e?r.lines.blockLineCount:m;h(T,E,k,I,m,L)}}},readPixel:function(t,e){return T.read({x:t,y:e,width:1,height:1,data:c}),c},readPixels:function(t,e,r,n){var i=new Uint8Array(4*r*n);return T.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style["pointer-events"]="none",A.destroy(),b&&b.destroy(),M)M[e].destroy()},update:C}}},{"../../lib":778,"./constants":1153,glslify:439}],1158:[function(t,e,r){"use strict";e.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n}},{}],1159:[function(t,e,r){"use strict";var n=t("d3"),i=t("color-rgba"),a=t("../../plots/cartesian/axes"),o=t("../../lib"),s=o.strRotate,l=o.strTranslate,c=t("../../lib/svg_text_utils"),u=t("../../components/drawing"),f=t("../../components/colorscale"),h=t("../../lib/gup"),p=h.keyFun,d=h.repeat,g=h.unwrap,m=t("./helpers"),v=t("./constants"),y=t("./axisbrush"),x=t("./lines");function b(t,e,r){return o.aggNums(t,null,e,r)}function _(t,e){return T(b(Math.min,t,e),b(Math.max,t,e))}function w(t){var e=t.range;return e?T(e[0],e[1]):_(t.values,t._length)}function T(t,e){return!isNaN(t)&&isFinite(t)||(t=0),!isNaN(e)&&isFinite(e)||(e=0),t===e&&(0===t?(t-=1,e+=1):(t*=.9,e*=1.1)),[t,e]}function k(t,e,r,i,a){var o,s,l=w(r);return i?n.scale.ordinal().domain(i.map((o=n.format(r.tickformat),s=a,s?function(t,e){var r=s[e];return null==r?o(t):r}:o))).range(i.map((function(r){var n=(r-l[0])/(l[1]-l[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(l).range([t-e,e])}function M(t){if(t.tickvals){var e=w(t);return n.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return(t-e[0])/(e[1]-e[0])})))}}function A(t){var e=t.map((function(t){return t[0]})),r=t.map((function(t){var e=i(t[1]);return n.rgb("rgb("+e[0]+","+e[1]+","+e[2]+")")})),a="rgb".split("").map((function(t){return n.scale.linear().clamp(!0).domain(e).range(r.map((i=t,function(t){return t[i]})));var i}));return function(t){return a.map((function(e){return e(t)}))}}function S(t){return t.dimensions.some((function(t){return t.brush.filterSpecified}))}function E(t,e,r){var a=g(e),s=a.trace,l=m.convertTypedArray(a.lineColor),c=s.line,u={color:i(v.deselectedLineColor)},h=f.extractOpts(c),p=h.reversescale?f.flipScale(a.cscale):a.cscale,d=s.domain,y=s.dimensions,x=t.width,b=s.labelangle,_=s.labelside,T=s.labelfont,k=s.tickfont,M=s.rangefont,S=o.extendDeepNoArrays({},c,{color:l.map(n.scale.linear().domain(w({values:l,range:[h.min,h.max],_length:s._length}))),blockLineCount:v.blockLineCount,canvasOverdrag:v.overdrag*v.canvasPixelRatio}),E=Math.floor(x*(d.x[1]-d.x[0])),C=Math.floor(t.height*(d.y[1]-d.y[0])),L=t.margin||{l:80,r:80,t:100,b:80},I=E,P=C;return{key:r,colCount:y.filter(m.isVisible).length,dimensions:y,tickDistance:v.tickDistance,unitToColor:A(p),lines:S,deselectedLines:u,labelAngle:b,labelSide:_,labelFont:T,tickFont:k,rangeFont:M,layoutWidth:x,layoutHeight:t.height,domain:d,translateX:d.x[0]*x,translateY:t.height-d.y[1]*t.height,pad:L,canvasWidth:I*v.canvasPixelRatio+2*S.canvasOverdrag,canvasHeight:P*v.canvasPixelRatio,width:I,height:P,canvasPixelRatio:v.canvasPixelRatio}}function C(t,e,r){var i=r.width,a=r.height,s=r.dimensions,l=r.canvasPixelRatio,c=function(t){return i*t/Math.max(1,r.colCount-1)},u=v.verticalPadding/a,f=function(t,e){return n.scale.linear().range([e,t-e])}(a,v.verticalPadding),h={key:r.key,xScale:c,model:r,inBrushDrag:!1},p={};return h.dimensions=s.filter(m.isVisible).map((function(i,s){var d=function(t,e){return n.scale.linear().domain(w(t)).range([e,1-e])}(i,u),g=p[i.label];p[i.label]=(g||0)+1;var x=i.label+(g?"__"+g:""),b=i.constraintrange,_=b&&b.length;_&&!Array.isArray(b[0])&&(b=[b]);var T=_?b.map((function(t){return t.map(d)})):[[-1/0,1/0]],A=i.values;A.length>i._length&&(A=A.slice(0,i._length));var E,C=i.tickvals;function L(t,e){return{val:t,text:E[e]}}function I(t,e){return t.val-e.val}if(Array.isArray(C)&&C.length){E=i.ticktext,Array.isArray(E)&&E.length?E.length>C.length?E=E.slice(0,C.length):C.length>E.length&&(C=C.slice(0,E.length)):E=C.map(n.format(i.tickformat));for(var P=1;P=r||l>=a)return;var c=t.lineLayer.readPixel(s,a-1-l),u=0!==c[3],f=u?c[2]+256*(c[1]+256*c[0]):null,h={x:s,y:l,clientX:e.clientX,clientY:e.clientY,dataIndex:t.model.key,curveNumber:f};f!==R&&(u?i.hover(h):i.unhover&&i.unhover(h),R=f)}})),D.style("opacity",(function(t){return t.pick?0:1})),h.style("background","rgba(255, 255, 255, 0)");var F=h.selectAll("."+v.cn.parcoords).data(A,p);F.exit().remove(),F.enter().append("g").classed(v.cn.parcoords,!0).style("shape-rendering","crispEdges").style("pointer-events","none"),F.attr("transform",(function(t){return l(t.model.translateX,t.model.translateY)}));var B=F.selectAll("."+v.cn.parcoordsControlView).data(d,p);B.enter().append("g").classed(v.cn.parcoordsControlView,!0),B.attr("transform",(function(t){return l(t.model.pad.l,t.model.pad.t)}));var N=B.selectAll("."+v.cn.yAxis).data((function(t){return t.dimensions}),p);N.enter().append("g").classed(v.cn.yAxis,!0),B.each((function(t){P(N,t)})),D.each((function(t){if(t.viewModel){!t.lineLayer||i?t.lineLayer=x(this,t):t.lineLayer.update(t),(t.key||0===t.key)&&(t.viewModel[t.key]=t.lineLayer);var e=!t.context||i;t.lineLayer.render(t.viewModel.panels,e)}})),N.attr("transform",(function(t){return l(t.xScale(t.xIndex),0)})),N.call(n.behavior.drag().origin((function(t){return t})).on("drag",(function(t){var e=t.parent;M.linePickActive(!1),t.x=Math.max(-v.overdrag,Math.min(t.model.width+v.overdrag,n.event.x)),t.canvasX=t.x*t.model.canvasPixelRatio,N.sort((function(t,e){return t.x-e.x})).each((function(e,r){e.xIndex=r,e.x=t===e?e.x:e.xScale(e.xIndex),e.canvasX=e.x*e.model.canvasPixelRatio})),P(N,e),N.filter((function(e){return 0!==Math.abs(t.xIndex-e.xIndex)})).attr("transform",(function(t){return l(t.xScale(t.xIndex),0)})),n.select(this).attr("transform",l(t.x,0)),N.each((function(r,n,i){i===t.parent.key&&(e.dimensions[n]=r)})),e.contextLayer&&e.contextLayer.render(e.panels,!1,!S(e)),e.focusLayer.render&&e.focusLayer.render(e.panels)})).on("dragend",(function(t){var e=t.parent;t.x=t.xScale(t.xIndex),t.canvasX=t.x*t.model.canvasPixelRatio,P(N,e),n.select(this).attr("transform",(function(t){return l(t.x,0)})),e.contextLayer&&e.contextLayer.render(e.panels,!1,!S(e)),e.focusLayer&&e.focusLayer.render(e.panels),e.pickLayer&&e.pickLayer.render(e.panels,!0),M.linePickActive(!0),i&&i.axesMoved&&i.axesMoved(e.key,e.dimensions.map((function(t){return t.crossfilterDimensionIndex})))}))),N.exit().remove();var j=N.selectAll("."+v.cn.axisOverlays).data(d,p);j.enter().append("g").classed(v.cn.axisOverlays,!0),j.selectAll("."+v.cn.axis).remove();var U=j.selectAll("."+v.cn.axis).data(d,p);U.enter().append("g").classed(v.cn.axis,!0),U.each((function(t){var e=t.model.height/t.model.tickDistance,r=t.domainScale,i=r.domain();n.select(this).call(n.svg.axis().orient("left").tickSize(4).outerTickSize(2).ticks(e,t.tickFormat).tickValues(t.ordinal?i:null).tickFormat((function(e){return m.isOrdinal(t)?e:z(t.model.dimensions[t.visibleIndex],e)})).scale(r)),u.font(U.selectAll("text"),t.model.tickFont)})),U.selectAll(".domain, .tick>line").attr("fill","none").attr("stroke","black").attr("stroke-opacity",.25).attr("stroke-width","1px"),U.selectAll("text").style("text-shadow","1px 1px 1px #fff, -1px -1px 1px #fff, 1px -1px 1px #fff, -1px 1px 1px #fff").style("cursor","default");var V=j.selectAll("."+v.cn.axisHeading).data(d,p);V.enter().append("g").classed(v.cn.axisHeading,!0);var q=V.selectAll("."+v.cn.axisTitle).data(d,p);q.enter().append("text").classed(v.cn.axisTitle,!0).attr("text-anchor","middle").style("cursor","ew-resize").style("pointer-events","auto"),q.text((function(t){return t.label})).each((function(e){var r=n.select(this);u.font(r,e.model.labelFont),c.convertToTspans(r,t)})).attr("transform",(function(t){var e=I(t.model.labelAngle,t.model.labelSide),r=v.axisTitleOffset;return(e.dir>0?"":l(0,2*r+t.model.height))+s(e.degrees)+l(-r*e.dx,-r*e.dy)})).attr("text-anchor",(function(t){var e=I(t.model.labelAngle,t.model.labelSide);return 2*Math.abs(e.dx)>Math.abs(e.dy)?e.dir*e.dx<0?"start":"end":"middle"}));var H=j.selectAll("."+v.cn.axisExtent).data(d,p);H.enter().append("g").classed(v.cn.axisExtent,!0);var G=H.selectAll("."+v.cn.axisExtentTop).data(d,p);G.enter().append("g").classed(v.cn.axisExtentTop,!0),G.attr("transform",l(0,-v.axisExtentOffset));var Y=G.selectAll("."+v.cn.axisExtentTopText).data(d,p);Y.enter().append("text").classed(v.cn.axisExtentTopText,!0).call(L),Y.text((function(t){return O(t,!0)})).each((function(t){u.font(n.select(this),t.model.rangeFont)}));var W=H.selectAll("."+v.cn.axisExtentBottom).data(d,p);W.enter().append("g").classed(v.cn.axisExtentBottom,!0),W.attr("transform",(function(t){return l(0,t.model.height+v.axisExtentOffset)}));var X=W.selectAll("."+v.cn.axisExtentBottomText).data(d,p);X.enter().append("text").classed(v.cn.axisExtentBottomText,!0).attr("dy","0.75em").call(L),X.text((function(t){return O(t,!1)})).each((function(t){u.font(n.select(this),t.model.rangeFont)})),y.ensureAxisBrush(j)}},{"../../components/colorscale":655,"../../components/drawing":665,"../../lib":778,"../../lib/gup":775,"../../lib/svg_text_utils":803,"../../plots/cartesian/axes":828,"./axisbrush":1150,"./constants":1153,"./helpers":1155,"./lines":1157,"color-rgba":127,d3:169}],1160:[function(t,e,r){"use strict";var n=t("./parcoords"),i=t("../../lib/prepare_regl"),a=t("./helpers").isVisible;function o(t,e,r){var n=e.indexOf(r),i=t.indexOf(n);return-1===i&&(i+=e.length),i}e.exports=function(t,e){var r=t._fullLayout;if(i(t)){var s={},l={},c={},u={},f=r._size;e.forEach((function(e,r){var n=e[0].trace;c[r]=n.index;var i=u[r]=n._fullInput.index;s[r]=t.data[i].dimensions,l[r]=t.data[i].dimensions.slice()}));n(t,e,{width:f.w,height:f.h,margin:{t:f.t,r:f.r,b:f.b,l:f.l}},{filterChanged:function(e,n,i){var a=l[e][n],o=i.map((function(t){return t.slice()})),s="dimensions["+n+"].constraintrange",f=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===f[s]){var h=a.constraintrange;f[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit("plotly_restyle",[d,[u[e]]])},hover:function(e){t.emit("plotly_hover",e)},unhover:function(e){t.emit("plotly_unhover",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return o(t,e,r)-o(t,e,n)}}(r,l[e].filter(a));s[e].sort(n),l[e].filter((function(t){return!a(t)})).sort((function(t){return l[e].indexOf(t)})).forEach((function(t){s[e].splice(s[e].indexOf(t),1),s[e].splice(l[e].indexOf(t),0,t)})),t.emit("plotly_restyle",[{dimensions:[s[e]]},[u[e]]])}})}}},{"../../lib/prepare_regl":791,"./helpers":1155,"./parcoords":1159}],1161:[function(t,e,r){"use strict";var n=t("../../plots/attributes"),i=t("../../plots/domain").attributes,a=t("../../plots/font_attributes"),o=t("../../components/color/attributes"),s=t("../../plots/template_attributes").hovertemplateAttrs,l=t("../../plots/template_attributes").texttemplateAttrs,c=t("../../lib/extend").extendFlat,u=a({editType:"plot",arrayOk:!0,colorEditType:"plot"});e.exports={labels:{valType:"data_array",editType:"calc"},label0:{valType:"number",dflt:0,editType:"calc"},dlabel:{valType:"number",dflt:1,editType:"calc"},values:{valType:"data_array",editType:"calc"},marker:{colors:{valType:"data_array",editType:"calc"},line:{color:{valType:"color",dflt:o.defaultLine,arrayOk:!0,editType:"style"},width:{valType:"number",min:0,dflt:0,arrayOk:!0,editType:"style"},editType:"calc"},editType:"calc"},text:{valType:"data_array",editType:"plot"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"style"},scalegroup:{valType:"string",dflt:"",editType:"calc"},textinfo:{valType:"flaglist",flags:["label","text","value","percent"],extras:["none"],editType:"calc"},hoverinfo:c({},n.hoverinfo,{flags:["label","text","value","percent","name"]}),hovertemplate:s({},{keys:["label","color","value","percent","text"]}),texttemplate:l({editType:"plot"},{keys:["label","color","value","percent","text"]}),textposition:{valType:"enumerated",values:["inside","outside","auto","none"],dflt:"auto",arrayOk:!0,editType:"plot"},textfont:c({},u,{}),insidetextorientation:{valType:"enumerated",values:["horizontal","radial","tangential","auto"],dflt:"auto",editType:"plot"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:"boolean",dflt:!1,editType:"plot"},title:{text:{valType:"string",dflt:"",editType:"plot"},font:c({},u,{}),position:{valType:"enumerated",values:["top left","top center","top right","middle center","bottom left","bottom center","bottom right"],editType:"plot"},editType:"plot"},domain:i({name:"pie",trace:!0,editType:"calc"}),hole:{valType:"number",min:0,max:1,dflt:0,editType:"calc"},sort:{valType:"boolean",dflt:!0,editType:"calc"},direction:{valType:"enumerated",values:["clockwise","counterclockwise"],dflt:"counterclockwise",editType:"calc"},rotation:{valType:"number",min:-360,max:360,dflt:0,editType:"calc"},pull:{valType:"number",min:0,max:1,dflt:0,arrayOk:!0,editType:"calc"},_deprecated:{title:{valType:"string",dflt:"",editType:"calc"},titlefont:c({},u,{}),titleposition:{valType:"enumerated",values:["top left","top center","top right","middle center","bottom left","bottom center","bottom right"],editType:"calc"}}}},{"../../components/color/attributes":642,"../../lib/extend":768,"../../plots/attributes":824,"../../plots/domain":855,"../../plots/font_attributes":856,"../../plots/template_attributes":906}],1162:[function(t,e,r){"use strict";var n=t("../../plots/plots");r.name="pie",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{"../../plots/plots":891}],1163:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("tinycolor2"),a=t("../../components/color"),o={};function s(t){return function(e,r){return!!e&&(!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c("labels"),c("values")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c("label0"),c("dlabel")),f){e._length=f,c("marker.line.width")&&c("marker.line.color"),c("marker.colors"),c("scalegroup");var h,p=c("text"),d=c("texttemplate");if(d||(h=c("textinfo",Array.isArray(p)?"text+percent":"percent")),c("hovertext"),c("hovertemplate"),d||h&&"none"!==h){var g=c("textposition");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||"auto"===g||"outside"===g)&&c("automargin"),("inside"===g||"auto"===g||Array.isArray(g))&&c("insidetextorientation")}o(e,n,c);var m=c("hole");if(c("title.text")){var v=c("title.position",m?"middle center":"top center");m||"middle center"!==v||(e.title.position="top center"),i.coerceFont(c,"title.font",n.font)}c("sort"),c("direction"),c("rotation"),c("pull")}else e.visible=!1}}},{"../../lib":778,"../../plots/domain":855,"../bar/defaults":925,"./attributes":1161,"fast-isnumeric":241}],1165:[function(t,e,r){"use strict";var n=t("../../components/fx/helpers").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),"funnelarea"===e.type&&(delete r.v,delete r.i),r}},{"../../components/fx/helpers":679}],1166:[function(t,e,r){"use strict";var n=t("../../lib");function i(t){return-1!==t.indexOf("e")?t.replace(/[.]?0+e/,"e"):-1!==t.indexOf(".")?t.replace(/[.]?0+$/,""):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+"%"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r"),name:u.hovertemplate||-1!==f.indexOf("name")?u.name:void 0,idealAlign:t.pxmid[0]<0?"left":"right",color:m.castOption(b.bgcolor,t.pts)||t.color,borderColor:m.castOption(b.bordercolor,t.pts),fontFamily:m.castOption(_.family,t.pts),fontSize:m.castOption(_.size,t.pts),fontColor:m.castOption(_.color,t.pts),nameLength:m.castOption(b.namelength,t.pts),textAlign:m.castOption(b.align,t.pts),hovertemplate:m.castOption(u.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,u)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e}),o._hasHoverLabel=!0}o._hasHoverEvent=!0,e.emit("plotly_hover",{points:[v(t,u)],event:n.event})}})),t.on("mouseout",(function(t){var r=e._fullLayout,i=e._fullData[o.index],s=n.select(this).datum();o._hasHoverEvent&&(t.originalEvent=n.event,e.emit("plotly_unhover",{points:[v(s,i)],event:n.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),o._hasHoverLabel=!1)})),t.on("click",(function(t){var r=e._fullLayout,i=e._fullData[o.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=m.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=m.castOption(t._input.textfont.color,e.pts));var i=m.castOption(t.insidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.insidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;ie&&e>n||r=-4;m-=2)v(Math.PI*m,"tan");for(m=4;m>=-4;m-=2)v(Math.PI*(m+1),"tan")}if(f||p){for(m=4;m>=-4;m-=2)v(Math.PI*(m+1.5),"rad");for(m=4;m>=-4;m-=2)v(Math.PI*(m+.5),"rad")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;g.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a));for(var x=0,b=0,_=0;_=1)break}return g[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:M(a,o/e),rotate:A(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:M(a,o/e),rotate:A(i+Math.PI/2)}}function M(t,e){return Math.cos(e)-t*e}function A(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function C(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function L(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=P(a),-1!==a.title.position.indexOf("top")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf("bottom")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf("left")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf("center")?f*=2:-1!==a.title.position.indexOf("right")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=I(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function I(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function P(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;er&&(r=t.pull[e]);return r}function z(t,e){for(var r=[],n=0;n1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n")}if(a){var x=l.castOption(i,e.i,"texttemplate");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:m.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:m.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,"customdata")}}(e),_=m.getFirstFilled(i.text,e.pts);(y(_)||""===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=""}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d("pie",r),_(e,t),z(e,a);var h=l.makeTraceGroups(r._pielayer,e,"trace").each((function(e){var h=n.select(this),d=e[0],g=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=m.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c="px0",u="px1";if("counterclockwise"===o.direction){for(e=0;ei.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr("stroke-linejoin","round"),h.each((function(){var v=n.select(this).selectAll("g.slice").data(e);v.enter().append("g").classed("slice",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll("path,g").remove();else{i.pointNumber=i.i,i.curveNumber=g.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll("path.surface").data([i]);if(h.enter().append("path").classed("surface",!0).style({"pointer-events":"all"}),u.call(x,t,e),g.pull){var v=+m.castOption(g.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=g.hole;if(i.v===d.vTotal){var k="M"+(o+i.px0[0])+","+(c+i.px0[1])+L(i.px0,i.pxmid,!0,1)+L(i.pxmid,i.px0,!0,1)+"Z";T?h.attr("d","M"+(o+T*i.px0[0])+","+(c+T*i.px0[1])+L(i.px0,i.pxmid,!1,T)+L(i.pxmid,i.px0,!1,T)+"Z"+k):h.attr("d",k)}else{var M=L(i.px0,i.px1,!0,1);if(T){var A=1-T;h.attr("d","M"+(o+T*i.px1[0])+","+(c+T*i.px1[1])+L(i.px1,i.px0,!1,T)+"l"+A*i.px0[0]+","+A*i.px0[1]+M+"Z")}else h.attr("d","M"+o+","+c+"l"+i.px0[0]+","+i.px0[1]+M+"Z")}D(t,i,d);var S=m.castOption(g.textposition,i.pts),E=u.selectAll("g.slicetext").data(i.text&&"none"!==S?[0]:[]);E.enter().append("g").classed("slicetext",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),h=l.ensureUniformFontSize(t,"outside"===S?function(t,e,r){var n=m.castOption(t.outsidetextfont.color,e.pts)||m.castOption(t.textfont.color,e.pts)||r.color,i=m.castOption(t.outsidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.outsidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(g,i,r.font):b(g,i,r.font));u.text(i.text).attr({class:"slicetext",transform:"","text-anchor":"middle"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if("outside"===S)v=C(y,i);else if(v=w(y,i,d),"auto"===S&&v.scale<1){var x=l.ensureUniformFontSize(t,g.outsidetextfont);u.call(s.font,x),v=C(y=s.bBox(u.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:O(d.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=c+k[1]*v.rCenter+(v.y||0),R(v,y),v.outside){var M=v.targetY;i.yLabelMin=M-y.height/2,i.yLabelMid=M,i.yLabelMax=M+y.height/2,i.labelExtraX=0,i.labelExtraY=0,_=!0}v.fontSize=h.size,p(g.type,v,r),e[a].transform=v,u.attr("transform",l.getTextTransform(v))}))}function L(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return"a"+n*d.r+","+n*d.r+" 0 "+i.largeArc+(r?" 1 ":" 0 ")+a+","+o}}));var T=n.select(this).selectAll("g.titletext").data(g.title.text?[0]:[]);if(T.enter().append("g").classed("titletext",!0),T.exit().remove(),T.each((function(){var e,r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),i=g.title.text;g._meta&&(i=l.templateString(i,g._meta)),r.text(i).attr({class:"titletext",transform:"","text-anchor":"middle"}).call(s.font,g.title.font).call(f.convertToTspans,t),e="middle center"===g.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(d):L(d,a),r.attr("transform",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function g(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var i,c,u,h,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),d=n?t.yLabelMin:t.yLabelMax,g=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-d;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c=(m.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-d-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(g+t.labelExtraY-v)*l>0&&(i=3*s*Math.abs(c-f.indexOf(t)),(h=u.cxFinal+a(u.px0[0],u.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=h)))}for(n=0;n<2;n++)for(i=n?g:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),u=t[1-n][r],f=u.concat(c),p=[],h=0;hMath.abs(f)?s+="l"+f*t.pxmid[0]/t.pxmid[1]+","+f+"H"+(a+t.labelExtraX+c):s+="l"+t.labelExtraX+","+u+"v"+(f-u)+"h"+c}else s+="V"+(t.yLabelMid+t.labelExtraY)+"h"+c;l.ensureSingle(r,"path","textline").call(o.stroke,e.outsidetextfont.color).attr({"stroke-width":Math.min(2,e.outsidetextfont.size/8),d:s,fill:"none"})}else r.select("path.textline").remove()}))}(v,g),_&&g.automargin){var k=s.bBox(h.node()),M=g.domain,A=a.w*(M.x[1]-M.x[0]),S=a.h*(M.y[1]-M.y[0]),E=(.5*A-d.r)/a.w,I=(.5*S-d.r)/a.h;i.autoMargin(t,"pie."+g.uid+".automargin",{xl:M.x[0]-E,xr:M.x[1]+E,yb:M.y[0]-I,yt:M.y[1]+I,l:Math.max(d.cx-d.r-k.left,0),r:Math.max(k.right-(d.cx+d.r),0),b:Math.max(k.bottom-(d.cy+d.r),0),t:Math.max(d.cy-d.r-k.top,0),pad:5})}}))}));setTimeout((function(){h.selectAll("tspan").each((function(){var t=n.select(this);t.attr("dy")&&t.attr("dy",t.attr("dy"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:L,prerenderTitles:_,layoutAreas:z,attachFxHandlers:x,computeTransform:R}},{"../../components/color":643,"../../components/drawing":665,"../../components/fx":683,"../../lib":778,"../../lib/svg_text_utils":803,"../../plots/plots":891,"../bar/constants":923,"../bar/uniform_text":937,"./event_data":1165,"./helpers":1166,d3:169}],1171:[function(t,e,r){"use strict";var n=t("d3"),i=t("./style_one"),a=t("../bar/uniform_text").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(".trace");a(t,e,"pie"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll("path.surface").each((function(t){n.select(this).call(i,t,e)}))}))}},{"../bar/uniform_text":937,"./style_one":1172,d3:169}],1172:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("./helpers").castOption;e.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style("stroke-width",s).call(n.fill,e.color).call(n.stroke,o)}},{"../../components/color":643,"./helpers":1166}],1173:[function(t,e,r){"use strict";var n=t("../scatter/attributes");e.exports={x:n.x,y:n.y,xy:{valType:"data_array",editType:"calc"},indices:{valType:"data_array",editType:"calc"},xbounds:{valType:"data_array",editType:"calc"},ybounds:{valType:"data_array",editType:"calc"},text:n.text,marker:{color:{valType:"color",arrayOk:!1,editType:"calc"},opacity:{valType:"number",min:0,max:1,dflt:1,arrayOk:!1,editType:"calc"},blend:{valType:"boolean",dflt:null,editType:"calc"},sizemin:{valType:"number",min:.1,max:2,dflt:.5,editType:"calc"},sizemax:{valType:"number",min:.1,dflt:20,editType:"calc"},border:{color:{valType:"color",arrayOk:!1,editType:"calc"},arearatio:{valType:"number",min:0,max:1,dflt:0,editType:"calc"},editType:"calc"},editType:"calc"},transforms:void 0}},{"../scatter/attributes":1187}],1174:[function(t,e,r){"use strict";var n=t("gl-pointcloud2d"),i=t("../../lib/str2rgbarray"),a=t("../../plots/cartesian/autorange").findExtremes,o=t("../scatter/get_trace_color");function s(t,e){this.scene=t,this.uid=e,this.type="pointcloud",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color="rgb(0, 0, 0)",this.name="",this.hoverinfo="all",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;ld[2]&&(d[2]=o),sd[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;ld[2]&&(d[2]=o),sd[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var g=i(t.marker.color),m=i(t.marker.border.color),v=t.opacity*t.marker.opacity;g[3]*=v,this.pointcloudOptions.color=g;var y=t.marker.blend;if(null===y){y=c.length<100||u.length<100}this.pointcloudOptions.blend=y,m[3]*=v,this.pointcloudOptions.borderColor=m;var x=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var _=this.scene.xaxis,w=this.scene.yaxis,T=b/2||.5;t._extremes[_._id]=a(_,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=a(w,[d[1],d[3]],{ppad:T})},l.dispose=function(){this.pointcloud.dispose()},e.exports=function(t,e){var r=new s(t,e.uid);return r.update(e),r}},{"../../lib/str2rgbarray":802,"../../plots/cartesian/autorange":827,"../scatter/get_trace_color":1197,"gl-pointcloud2d":324}],1175:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a("x"),a("y"),a("xbounds"),a("ybounds"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a("text"),a("marker.color",r),a("marker.opacity"),a("marker.blend"),a("marker.sizemin"),a("marker.sizemax"),a("marker.border.color",r),a("marker.border.arearatio"),e._length=null}},{"../../lib":778,"./attributes":1173}],1176:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("../scatter3d/calc"),plot:t("./convert"),moduleType:"trace",name:"pointcloud",basePlotModule:t("../../plots/gl2d"),categories:["gl","gl2d","showLegend"],meta:{}}},{"../../plots/gl2d":868,"../scatter3d/calc":1216,"./attributes":1173,"./convert":1174,"./defaults":1175}],1177:[function(t,e,r){"use strict";var n=t("../../plots/font_attributes"),i=t("../../plots/attributes"),a=t("../../components/color/attributes"),o=t("../../components/fx/attributes"),s=t("../../plots/domain").attributes,l=t("../../plots/template_attributes").hovertemplateAttrs,c=t("../../components/colorscale/attributes"),u=t("../../plot_api/plot_template").templatedArray,f=t("../../lib/extend").extendFlat,h=t("../../plot_api/edit_types").overrideAll;t("../../constants/docs").FORMAT_LINK;(e.exports=h({hoverinfo:f({},i.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:o.hoverlabel,domain:s({name:"sankey",trace:!0}),orientation:{valType:"enumerated",values:["v","h"],dflt:"h"},valueformat:{valType:"string",dflt:".3s"},valuesuffix:{valType:"string",dflt:""},arrangement:{valType:"enumerated",values:["snap","perpendicular","freeform","fixed"],dflt:"snap"},textfont:n({}),customdata:void 0,node:{label:{valType:"data_array",dflt:[]},groups:{valType:"info_array",impliedEdits:{x:[],y:[]},dimensions:2,freeLength:!0,dflt:[],items:{valType:"number",editType:"calc"}},x:{valType:"data_array",dflt:[]},y:{valType:"data_array",dflt:[]},color:{valType:"color",arrayOk:!0},customdata:{valType:"data_array",editType:"calc"},line:{color:{valType:"color",dflt:a.defaultLine,arrayOk:!0},width:{valType:"number",min:0,dflt:.5,arrayOk:!0}},pad:{valType:"number",arrayOk:!1,min:0,dflt:20},thickness:{valType:"number",arrayOk:!1,min:1,dflt:20},hoverinfo:{valType:"enumerated",values:["all","none","skip"],dflt:"all"},hoverlabel:o.hoverlabel,hovertemplate:l({},{keys:["value","label"]})},link:{label:{valType:"data_array",dflt:[]},color:{valType:"color",arrayOk:!0},customdata:{valType:"data_array",editType:"calc"},line:{color:{valType:"color",dflt:a.defaultLine,arrayOk:!0},width:{valType:"number",min:0,dflt:0,arrayOk:!0}},source:{valType:"data_array",dflt:[]},target:{valType:"data_array",dflt:[]},value:{valType:"data_array",dflt:[]},hoverinfo:{valType:"enumerated",values:["all","none","skip"],dflt:"all"},hoverlabel:o.hoverlabel,hovertemplate:l({},{keys:["value","label"]}),colorscales:u("concentrationscales",{editType:"calc",label:{valType:"string",editType:"calc",dflt:""},cmax:{valType:"number",editType:"calc",dflt:1},cmin:{valType:"number",editType:"calc",dflt:0},colorscale:f(c().colorscale,{dflt:[[0,"white"],[1,"black"]]})})}},"calc","nested")).transforms=void 0},{"../../components/color/attributes":642,"../../components/colorscale/attributes":650,"../../components/fx/attributes":674,"../../constants/docs":748,"../../lib/extend":768,"../../plot_api/edit_types":810,"../../plot_api/plot_template":817,"../../plots/attributes":824,"../../plots/domain":855,"../../plots/font_attributes":856,"../../plots/template_attributes":906}],1178:[function(t,e,r){"use strict";var n=t("../../plot_api/edit_types").overrideAll,i=t("../../plots/get_data").getModuleCalcData,a=t("./plot"),o=t("../../components/fx/layout_attributes"),s=t("../../lib/setcursor"),l=t("../../components/dragelement"),c=t("../../plots/cartesian/select").prepSelect,u=t("../../lib"),f=t("../../registry");function h(t,e){var r=t._fullData[e],n=t._fullLayout,i=n.dragmode,a="pan"===n.dragmode?"move":"crosshair",o=r._bgRect;if("pan"!==i&&"zoom"!==i){s(o,a);var h={_id:"x",c2p:u.identity,_offset:r._sankey.translateX,_length:r._sankey.width},p={_id:"y",c2p:u.identity,_offset:r._sankey.translateY,_length:r._sankey.height},d={gd:t,element:o.node(),plotinfo:{id:e,xaxis:h,yaxis:p,fillRangeItems:u.noop},subplot:e,xaxes:[h],yaxes:[p],doneFnCompleted:function(r){var n,i=t._fullData[e],a=i.node.groups.slice(),o=[];function s(t){for(var e=i._sankey.graph.nodes,r=0;ry&&(y=a.source[e]),a.target[e]>y&&(y=a.target[e]);var x,b=y+1;t.node._count=b;var _=t.node.groups,w={};for(e=0;e<_.length;e++){var T=_[e];for(x=0;x0&&s(E,b)&&s(C,b)&&(!w.hasOwnProperty(E)||!w.hasOwnProperty(C)||w[E]!==w[C])){w.hasOwnProperty(C)&&(C=w[C]),w.hasOwnProperty(E)&&(E=w[E]),C=+C,h[E=+E]=h[C]=!0;var L="";a.label&&a.label[e]&&(L=a.label[e]);var I=null;L&&p.hasOwnProperty(L)&&(I=p[L]),c.push({pointNumber:e,label:L,color:u?a.color[e]:a.color,customdata:f?a.customdata[e]:a.customdata,concentrationscale:I,source:E,target:C,value:+S}),A.source.push(E),A.target.push(C)}}var P=b+_.length,z=o(r.color),O=o(r.customdata),D=[];for(e=0;eb-1,childrenNodes:[],pointNumber:e,label:R,color:z?r.color[e]:r.color,customdata:O?r.customdata[e]:r.customdata})}var F=!1;return function(t,e,r){for(var a=i.init2dArray(t,0),o=0;o1}))}(P,A.source,A.target)&&(F=!0),{circular:F,links:c,nodes:D,groups:_,groupLookup:w}}e.exports=function(t,e){var r=c(e);return a({circular:r.circular,_nodes:r.nodes,_links:r.links,_groups:r.groups,_groupLookup:r.groupLookup})}},{"../../components/colorscale":655,"../../lib":778,"../../lib/gup":775,"strongly-connected-components":569}],1180:[function(t,e,r){"use strict";e.exports={nodeTextOffsetHorizontal:4,nodeTextOffsetVertical:3,nodePadAcross:10,sankeyIterations:50,forceIterations:5,forceTicksPerFrame:10,duration:500,ease:"linear",cn:{sankey:"sankey",sankeyLinks:"sankey-links",sankeyLink:"sankey-link",sankeyNodeSet:"sankey-node-set",sankeyNode:"sankey-node",nodeRect:"node-rect",nodeCapture:"node-capture",nodeCentered:"node-entered",nodeLabelGuide:"node-label-guide",nodeLabel:"node-label",nodeLabelTextPath:"node-label-text-path"}}},{}],1181:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("../../components/color"),o=t("tinycolor2"),s=t("../../plots/domain").defaults,l=t("../../components/fx/hoverlabel_defaults"),c=t("../../plot_api/plot_template"),u=t("../../plots/array_container_defaults");function f(t,e){function r(r,a){return n.coerce(t,e,i.link.colorscales,r,a)}r("label"),r("cmin"),r("cmax"),r("colorscale")}e.exports=function(t,e,r,h){function p(r,a){return n.coerce(t,e,i,r,a)}var d=n.extendDeep(h.hoverlabel,t.hoverlabel),g=t.node,m=c.newContainer(e,"node");function v(t,e){return n.coerce(g,m,i.node,t,e)}v("label"),v("groups"),v("x"),v("y"),v("pad"),v("thickness"),v("line.color"),v("line.width"),v("hoverinfo",t.hoverinfo),l(g,m,v,d),v("hovertemplate");var y=h.colorway;v("color",m.label.map((function(t,e){return a.addOpacity(function(t){return y[t%y.length]}(e),.8)}))),v("customdata");var x=t.link||{},b=c.newContainer(e,"link");function _(t,e){return n.coerce(x,b,i.link,t,e)}_("label"),_("source"),_("target"),_("value"),_("line.color"),_("line.width"),_("hoverinfo",t.hoverinfo),l(x,b,_,d),_("hovertemplate");var w,T=o(h.paper_bgcolor).getLuminance()<.333?"rgba(255, 255, 255, 0.6)":"rgba(0, 0, 0, 0.2)";_("color",n.repeat(T,b.value.length)),_("customdata"),u(x,b,{name:"colorscales",handleItemDefaults:f}),s(e,h,p),p("orientation"),p("valueformat"),p("valuesuffix"),m.x.length&&m.y.length&&(w="freeform"),p("arrangement",w),n.coerceFont(p,"textfont",n.extendFlat({},h.font)),e._length=null}},{"../../components/color":643,"../../components/fx/hoverlabel_defaults":681,"../../lib":778,"../../plot_api/plot_template":817,"../../plots/array_container_defaults":823,"../../plots/domain":855,"./attributes":1177,tinycolor2:576}],1182:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),plot:t("./plot"),moduleType:"trace",name:"sankey",basePlotModule:t("./base_plot"),selectPoints:t("./select.js"),categories:["noOpacity"],meta:{}}},{"./attributes":1177,"./base_plot":1178,"./calc":1179,"./defaults":1181,"./plot":1183,"./select.js":1185}],1183:[function(t,e,r){"use strict";var n=t("d3"),i=t("./render"),a=t("../../components/fx"),o=t("../../components/color"),s=t("../../lib"),l=t("./constants").cn,c=s._;function u(t){return""!==t}function f(t,e){return t.filter((function(t){return t.key===e.traceId}))}function h(t,e){n.select(t).select("path").style("fill-opacity",e),n.select(t).select("rect").style("fill-opacity",e)}function p(t){n.select(t).select("text.name").style("fill","black")}function d(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function g(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function m(t,e,r){e&&r&&f(r,e).selectAll("."+l.sankeyLink).filter(d(e)).call(y.bind(0,e,r,!1))}function v(t,e,r){e&&r&&f(r,e).selectAll("."+l.sankeyLink).filter(d(e)).call(x.bind(0,e,r,!1))}function y(t,e,r,n){var i=n.datum().link.label;n.style("fill-opacity",(function(t){if(!t.link.concentrationscale)return.4})),i&&f(e,t).selectAll("."+l.sankeyLink).filter((function(t){return t.link.label===i})).style("fill-opacity",(function(t){if(!t.link.concentrationscale)return.4})),r&&f(e,t).selectAll("."+l.sankeyNode).filter(g(t)).call(m)}function x(t,e,r,n){var i=n.datum().link.label;n.style("fill-opacity",(function(t){return t.tinyColorAlpha})),i&&f(e,t).selectAll("."+l.sankeyLink).filter((function(t){return t.link.label===i})).style("fill-opacity",(function(t){return t.tinyColorAlpha})),r&&f(e,t).selectAll(l.sankeyNode).filter(g(t)).call(v)}function b(t,e){var r=t.hoverlabel||{},n=s.nestedProperty(r,e).get();return!Array.isArray(n)&&n}e.exports=function(t,e){for(var r=t._fullLayout,s=r._paper,f=r._size,d=0;d"),color:b(s,"bgcolor")||o.addOpacity(d.color,1),borderColor:b(s,"bordercolor"),fontFamily:b(s,"font.family"),fontSize:b(s,"font.size"),fontColor:b(s,"font.color"),nameLength:b(s,"namelength"),textAlign:b(s,"align"),idealAlign:n.event.x"),color:b(o,"bgcolor")||i.tinyColorHue,borderColor:b(o,"bordercolor"),fontFamily:b(o,"font.family"),fontSize:b(o,"font.size"),fontColor:b(o,"font.color"),nameLength:b(o,"namelength"),textAlign:b(o,"align"),idealAlign:"left",hovertemplate:o.hovertemplate,hovertemplateLabels:v,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});h(_,.85),p(_)}}},unhover:function(e,i,o){!1!==t._fullLayout.hovermode&&(n.select(e).call(v,i,o),"skip"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit("plotly_unhover",{event:n.event,points:[i.node]})),a.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var o=r.node;o.originalEvent=n.event,t._hoverdata=[o],n.select(e).call(v,r,i),a.click(t,{target:!0})}}})}},{"../../components/color":643,"../../components/fx":683,"../../lib":778,"./constants":1180,"./render":1184,d3:169}],1184:[function(t,e,r){"use strict";var n=t("./constants"),i=t("d3"),a=t("tinycolor2"),o=t("../../components/color"),s=t("../../components/drawing"),l=t("@plotly/d3-sankey"),c=t("@plotly/d3-sankey-circular"),u=t("d3-force"),f=t("../../lib"),h=f.strTranslate,p=t("../../lib/gup"),d=p.keyFun,g=p.repeat,m=p.unwrap,v=t("d3-interpolate").interpolateNumber,y=t("../../registry");function x(t,e,r){var i,o=m(e),s=o.trace,u=s.domain,h="h"===s.orientation,p=s.node.pad,d=s.node.thickness,g=t.width*(u.x[1]-u.x[0]),v=t.height*(u.y[1]-u.y[0]),y=o._nodes,x=o._links,b=o.circular;(i=b?c.sankeyCircular().circularLinkGap(0):l.sankey()).iterations(n.sankeyIterations).size(h?[g,v]:[v,g]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(y).links(x);var _,w,T,k=i();for(var M in i.nodePadding()=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(y=k.nodes));i.update(k)}return{circular:b,key:r,trace:s,guid:f.randstr(),horizontal:h,width:g,height:v,nodePad:s.node.pad,nodeLineColor:s.node.line.color,nodeLineWidth:s.node.line.width,linkLineColor:s.link.line.color,linkLineWidth:s.link.line.width,valueFormat:s.valueformat,valueSuffix:s.valuesuffix,textFont:s.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:h?v:g,dragPerpendicular:h?g:v,arrangement:s.arrangement,sankey:i,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function b(t,e,r){var n=a(e.color),i=e.source.label+"|"+e.target.label+"__"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:o.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:_,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function _(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,"top"===e.circularLinkType?"M "+n.targetX+" "+(n.targetY+r)+" L"+n.rightInnerExtent+" "+(n.targetY+r)+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightSmallArcRadius+r)+" 0 0 1 "+(n.rightFullExtent-r)+" "+(n.targetY-n.rightSmallArcRadius)+"L"+(n.rightFullExtent-r)+" "+n.verticalRightInnerExtent+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightLargeArcRadius+r)+" 0 0 1 "+n.rightInnerExtent+" "+(n.verticalFullExtent-r)+"L"+n.leftInnerExtent+" "+(n.verticalFullExtent-r)+"A"+(n.leftLargeArcRadius+r)+" "+(n.leftLargeArcRadius+r)+" 0 0 1 "+(n.leftFullExtent+r)+" "+n.verticalLeftInnerExtent+"L"+(n.leftFullExtent+r)+" "+(n.sourceY-n.leftSmallArcRadius)+"A"+(n.leftLargeArcRadius+r)+" "+(n.leftSmallArcRadius+r)+" 0 0 1 "+n.leftInnerExtent+" "+(n.sourceY+r)+"L"+n.sourceX+" "+(n.sourceY+r)+"L"+n.sourceX+" "+(n.sourceY-r)+"L"+n.leftInnerExtent+" "+(n.sourceY-r)+"A"+(n.leftLargeArcRadius-r)+" "+(n.leftSmallArcRadius-r)+" 0 0 0 "+(n.leftFullExtent-r)+" "+(n.sourceY-n.leftSmallArcRadius)+"L"+(n.leftFullExtent-r)+" "+n.verticalLeftInnerExtent+"A"+(n.leftLargeArcRadius-r)+" "+(n.leftLargeArcRadius-r)+" 0 0 0 "+n.leftInnerExtent+" "+(n.verticalFullExtent+r)+"L"+n.rightInnerExtent+" "+(n.verticalFullExtent+r)+"A"+(n.rightLargeArcRadius-r)+" "+(n.rightLargeArcRadius-r)+" 0 0 0 "+(n.rightFullExtent+r)+" "+n.verticalRightInnerExtent+"L"+(n.rightFullExtent+r)+" "+(n.targetY-n.rightSmallArcRadius)+"A"+(n.rightLargeArcRadius-r)+" "+(n.rightSmallArcRadius-r)+" 0 0 0 "+n.rightInnerExtent+" "+(n.targetY-r)+"L"+n.targetX+" "+(n.targetY-r)+"Z":"M "+n.targetX+" "+(n.targetY-r)+" L"+n.rightInnerExtent+" "+(n.targetY-r)+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightSmallArcRadius+r)+" 0 0 0 "+(n.rightFullExtent-r)+" "+(n.targetY+n.rightSmallArcRadius)+"L"+(n.rightFullExtent-r)+" "+n.verticalRightInnerExtent+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightLargeArcRadius+r)+" 0 0 0 "+n.rightInnerExtent+" "+(n.verticalFullExtent+r)+"L"+n.leftInnerExtent+" "+(n.verticalFullExtent+r)+"A"+(n.leftLargeArcRadius+r)+" "+(n.leftLargeArcRadius+r)+" 0 0 0 "+(n.leftFullExtent+r)+" "+n.verticalLeftInnerExtent+"L"+(n.leftFullExtent+r)+" "+(n.sourceY+n.leftSmallArcRadius)+"A"+(n.leftLargeArcRadius+r)+" "+(n.leftSmallArcRadius+r)+" 0 0 0 "+n.leftInnerExtent+" "+(n.sourceY-r)+"L"+n.sourceX+" "+(n.sourceY-r)+"L"+n.sourceX+" "+(n.sourceY+r)+"L"+n.leftInnerExtent+" "+(n.sourceY+r)+"A"+(n.leftLargeArcRadius-r)+" "+(n.leftSmallArcRadius-r)+" 0 0 1 "+(n.leftFullExtent-r)+" "+(n.sourceY+n.leftSmallArcRadius)+"L"+(n.leftFullExtent-r)+" "+n.verticalLeftInnerExtent+"A"+(n.leftLargeArcRadius-r)+" "+(n.leftLargeArcRadius-r)+" 0 0 1 "+n.leftInnerExtent+" "+(n.verticalFullExtent-r)+"L"+n.rightInnerExtent+" "+(n.verticalFullExtent-r)+"A"+(n.rightLargeArcRadius-r)+" "+(n.rightLargeArcRadius-r)+" 0 0 1 "+(n.rightFullExtent+r)+" "+n.verticalRightInnerExtent+"L"+(n.rightFullExtent+r)+" "+(n.targetY+n.rightSmallArcRadius)+"A"+(n.rightLargeArcRadius-r)+" "+(n.rightSmallArcRadius-r)+" 0 0 1 "+n.rightInnerExtent+" "+(n.targetY+r)+"L"+n.targetX+" "+(n.targetY+r)+"Z";var e,r,n,i=t.link.source.x1,a=t.link.target.x0,o=v(i,a),s=o(.5),l=o(.5),c=t.link.y0-t.link.width/2,u=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2;return"M"+i+","+c+"C"+s+","+c+" "+l+","+f+" "+a+","+f+"L"+a+","+h+"C"+l+","+h+" "+s+","+u+" "+i+","+u+"Z"}}function w(t,e){var r=a(e.color),i=n.nodePadAcross,s=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var l=e.dx,c=Math.max(.5,e.dy),u="node_"+e.pointNumber;return e.group&&(u=f.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:u,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(l),visibleHeight:c,zoneX:-i,zoneY:-s,zoneWidth:l+2*i,zoneHeight:c+2*s,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:o.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,u].join("_"),interactionState:t.interactionState,figure:t}}function T(t){t.attr("transform",(function(t){return h(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function k(t){t.call(T)}function M(t,e){t.call(k),e.attr("d",_())}function A(t){t.attr("width",(function(t){return t.node.x1-t.node.x0})).attr("height",(function(t){return t.visibleHeight}))}function S(t){return t.link.width>1||t.linkLineWidth>0}function E(t){return h(t.translateX,t.translateY)+(t.horizontal?"matrix(1 0 0 1 0 0)":"matrix(0 1 1 0 0 0)")}function C(t){return h(t.horizontal?0:t.labelY,t.horizontal?t.labelY:0)}function L(t){return i.svg.line()([[t.horizontal?t.left?-t.sizeAcross:t.visibleWidth+n.nodeTextOffsetHorizontal:n.nodeTextOffsetHorizontal,0],[t.horizontal?t.left?-n.nodeTextOffsetHorizontal:t.sizeAcross:t.visibleHeight-n.nodeTextOffsetHorizontal,0]])}function I(t){return t.horizontal?"matrix(1 0 0 1 0 0)":"matrix(0 1 1 0 0 0)"}function P(t){return t.horizontal?"scale(1 1)":"scale(-1 1)"}function z(t){return t.darkBackground&&!t.horizontal?"rgb(255,255,255)":"rgb(0,0,0)"}function O(t){return t.horizontal&&t.left?"100%":"0%"}function D(t,e,r){t.on(".basic",null).on("mouseover.basic",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on("mousemove.basic",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on("mouseout.basic",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on("click.basic",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function R(t,e,r,a){var o=i.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on("dragstart",(function(i){if("fixed"!==i.arrangement&&(f.ensureSingle(a._fullLayout._infolayer,"g","dragcover",(function(t){a._fullLayout._dragCover=t})),f.raiseToTop(this),i.interactionState.dragInProgress=i.node,B(i.node),i.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,i.interactionState.hovered),i.interactionState.hovered=!1),"snap"===i.arrangement)){var o=i.traceId+"|"+i.key;i.forceLayouts[o]?i.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e0&&i.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,i),function(t,e,r,i,a){window.requestAnimationFrame((function o(){var s;for(s=0;s0)window.requestAnimationFrame(o);else{var l=r.node.originalX;r.node.x0=l-r.visibleWidth/2,r.node.x1=l+r.visibleWidth/2,F(r,a)}}))}(t,e,i,o,a)}})).on("drag",(function(r){if("fixed"!==r.arrangement){var n=i.event.x,a=i.event.y;"snap"===r.arrangement?(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2,r.node.y0=a-r.visibleHeight/2,r.node.y1=a+r.visibleHeight/2):("freeform"===r.arrangement&&(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2),a=Math.max(0,Math.min(r.size-r.visibleHeight/2,a)),r.node.y0=a-r.visibleHeight/2,r.node.y1=a+r.visibleHeight/2),B(r.node),"snap"!==r.arrangement&&(r.sankey.update(r.graph),M(t.filter(N(r)),e))}})).on("dragend",(function(t){if("fixed"!==t.arrangement){t.interactionState.dragInProgress=!1;for(var e=0;e5?t.node.label:""})).attr("text-anchor",(function(t){return t.horizontal&&t.left?"end":"start"})),q.transition().ease(n.ease).duration(n.duration).attr("startOffset",O).style("fill",z)}},{"../../components/color":643,"../../components/drawing":665,"../../lib":778,"../../lib/gup":775,"../../registry":911,"./constants":1180,"@plotly/d3-sankey":56,"@plotly/d3-sankey-circular":55,d3:169,"d3-force":160,"d3-interpolate":162,tinycolor2:576}],1185:[function(t,e,r){"use strict";e.exports=function(t,e){for(var r=[],n=t.cd[0].trace,i=n._sankey.graph.nodes,a=0;a<i.length;a++){var o=i[a];if(!o.partOfGroup){var s=[(o.x0+o.x1)/2,(o.y0+o.y1)/2];"v"===n.orientation&&s.reverse(),e&&e.contains(s,!1,a,t)&&r.push({pointNumber:o.pointNumber})}}return r}},{}],1186:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e){for(var r=0;r<t.length;r++)t[r].i=r;n.mergeArray(e.text,t,"tx"),n.mergeArray(e.texttemplate,t,"txt"),n.mergeArray(e.hovertext,t,"htx"),n.mergeArray(e.customdata,t,"data"),n.mergeArray(e.textposition,t,"tp"),e.textfont&&(n.mergeArrayCastPositive(e.textfont.size,t,"ts"),n.mergeArray(e.textfont.color,t,"tc"),n.mergeArray(e.textfont.family,t,"tf"));var i=e.marker;if(i){n.mergeArrayCastPositive(i.size,t,"ms"),n.mergeArrayCastPositive(i.opacity,t,"mo"),n.mergeArray(i.symbol,t,"mx"),n.mergeArray(i.color,t,"mc");var a=i.line;i.line&&(n.mergeArray(a.color,t,"mlc"),n.mergeArrayCastPositive(a.width,t,"mlw"));var o=i.gradient;o&&"none"!==o.type&&(n.mergeArray(o.type,t,"mgt"),n.mergeArray(o.color,t,"mgc"))}}},{"../../lib":778}],1187:[function(t,e,r){"use strict";var n=t("../../plots/template_attributes").texttemplateAttrs,i=t("../../plots/template_attributes").hovertemplateAttrs,a=t("../../components/colorscale/attributes"),o=t("../../plots/font_attributes"),s=t("../../components/drawing/attributes").dash,l=t("../../components/drawing"),c=t("./constants"),u=t("../../lib/extend").extendFlat;e.exports={x:{valType:"data_array",editType:"calc+clearAxisTypes",anim:!0},x0:{valType:"any",dflt:0,editType:"calc+clearAxisTypes",anim:!0},dx:{valType:"number",dflt:1,editType:"calc",anim:!0},y:{valType:"data_array",editType:"calc+clearAxisTypes",anim:!0},y0:{valType:"any",dflt:0,editType:"calc+clearAxisTypes",anim:!0},dy:{valType:"number",dflt:1,editType:"calc",anim:!0},xperiod:{valType:"any",dflt:0,editType:"calc"},yperiod:{valType:"any",dflt:0,editType:"calc"},xperiod0:{valType:"any",editType:"calc"},yperiod0:{valType:"any",editType:"calc"},xperiodalignment:{valType:"enumerated",values:["start","middle","end"],dflt:"middle",editType:"calc"},yperiodalignment:{valType:"enumerated",values:["start","middle","end"],dflt:"middle",editType:"calc"},stackgroup:{valType:"string",dflt:"",editType:"calc"},orientation:{valType:"enumerated",values:["v","h"],editType:"calc"},groupnorm:{valType:"enumerated",values:["","fraction","percent"],dflt:"",editType:"calc"},stackgaps:{valType:"enumerated",values:["infer zero","interpolate"],dflt:"infer zero",editType:"calc"},text:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},texttemplate:n({},{}),hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"style"},mode:{valType:"flaglist",flags:["lines","markers","text"],extras:["none"],editType:"calc"},hoveron:{valType:"flaglist",flags:["points","fills"],editType:"style"},hovertemplate:i({},{keys:c.eventDataKeys}),line:{color:{valType:"color",editType:"style",anim:!0},width:{valType:"number",min:0,dflt:2,editType:"style",anim:!0},shape:{valType:"enumerated",values:["linear","spline","hv","vh","hvh","vhv"],dflt:"linear",editType:"plot"},smoothing:{valType:"number",min:0,max:1.3,dflt:1,editType:"plot"},dash:u({},s,{editType:"style"}),simplify:{valType:"boolean",dflt:!0,editType:"plot"},editType:"plot"},connectgaps:{valType:"boolean",dflt:!1,editType:"calc"},cliponaxis:{valType:"boolean",dflt:!0,editType:"plot"},fill:{valType:"enumerated",values:["none","tozeroy","tozerox","tonexty","tonextx","toself","tonext"],editType:"calc"},fillcolor:{valType:"color",editType:"style",anim:!0},marker:u({symbol:{valType:"enumerated",values:l.symbolList,dflt:"circle",arrayOk:!0,editType:"style"},opacity:{valType:"number",min:0,max:1,arrayOk:!0,editType:"style",anim:!0},size:{valType:"number",min:0,dflt:6,arrayOk:!0,editType:"calc",anim:!0},maxdisplayed:{valType:"number",min:0,dflt:0,editType:"plot"},sizeref:{valType:"number",dflt:1,editType:"calc"},sizemin:{valType:"number",min:0,dflt:0,editType:"calc"},sizemode:{valType:"enumerated",values:["diameter","area"],dflt:"diameter",editType:"calc"},line:u({width:{valType:"number",min:0,arrayOk:!0,editType:"style",anim:!0},editType:"calc"},a("marker.line",{anim:!0})),gradient:{type:{valType:"enumerated",values:["radial","horizontal","vertical","none"],arrayOk:!0,dflt:"none",editType:"calc"},color:{valType:"color",arrayOk:!0,editType:"calc"},editType:"calc"},editType:"calc"},a("marker",{anim:!0})),selected:{marker:{opacity:{valType:"number",min:0,max:1,editType:"style"},color:{valType:"color",editType:"style"},size:{valType:"number",min:0,editType:"style"},editType:"style"},textfont:{color:{valType:"color",editType:"style"},editType:"style"},editType:"style"},unselected:{marker:{opacity:{valType:"number",min:0,max:1,editType:"style"},color:{valType:"color",editType:"style"},size:{valType:"number",min:0,editType:"style"},editType:"style"},textfont:{color:{valType:"color",editType:"style"},editType:"style"},editType:"style"},textposition:{valType:"enumerated",values:["top left","top center","top right","middle left","middle center","middle right","bottom left","bottom center","bottom right"],dflt:"middle center",arrayOk:!0,editType:"calc"},textfont:o({editType:"calc",colorEditType:"style",arrayOk:!0}),r:{valType:"data_array",editType:"calc"},t:{valType:"data_array",editType:"calc"}}},{"../../components/colorscale/attributes":650,"../../components/drawing":665,"../../components/drawing/attributes":664,"../../lib/extend":768,"../../plots/font_attributes":856,"../../plots/template_attributes":906,"./constants":1191}],1188:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("../../plots/cartesian/axes"),o=t("../../plots/cartesian/align_period"),s=t("../../constants/numerical").BADNUM,l=t("./subtypes"),c=t("./colorscale_calc"),u=t("./arrays_to_calcdata"),f=t("./calc_selection");function h(t,e,r,n,i,o,s){var c=e._length,u=t._fullLayout,f=r._id,h=n._id,p=u._firstScatter[g(e)]===e.uid,d=(m(e,u,r,n)||{}).orientation,v=e.fill;r._minDtick=0,n._minDtick=0;var y={padded:!0},x={padded:!0};s&&(y.ppad=x.ppad=s);var b=c<2||i[0]!==i[c-1]||o[0]!==o[c-1];b&&("tozerox"===v||"tonextx"===v&&(p||"h"===d))?y.tozero=!0:(e.error_y||{}).visible||"tonexty"!==v&&"tozeroy"!==v&&(l.hasMarkers(e)||l.hasText(e))||(y.padded=!1,y.ppad=0),b&&("tozeroy"===v||"tonexty"===v&&(p||"v"===d))?x.tozero=!0:"tonextx"!==v&&"tozerox"!==v||(x.padded=!1),f&&(e._extremes[f]=a.findExtremes(r,i,y)),h&&(e._extremes[h]=a.findExtremes(n,o,x))}function p(t,e){if(l.hasMarkers(t)){var r,n=t.marker,o=1.6*(t.marker.sizeref||1);if(r="area"===t.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/o),3)}:function(t){return Math.max((t||0)/o,3)},i.isArrayOrTypedArray(n.size)){var s={type:"linear"};a.setConvert(s);for(var c=s.makeCalcdata(t.marker,"size"),u=new Array(e),f=0;f<e;f++)u[f]=r(c[f]);return u}return r(n.size)}}function d(t,e){var r=g(e),n=t._firstScatter;n[r]||(n[r]=e.uid)}function g(t){var e=t.stackgroup;return t.xaxis+t.yaxis+t.type+(e?"-"+e:"")}function m(t,e,r,n){var i=t.stackgroup;if(i){var a=e._scatterStackOpts[r._id+n._id][i],o="v"===a.orientation?n:r;return"linear"===o.type||"log"===o.type?a:void 0}}e.exports={calc:function(t,e){var r,l,g,v,y,x,b=t._fullLayout,_=a.getFromId(t,e.xaxis||"x"),w=a.getFromId(t,e.yaxis||"y"),T=_.makeCalcdata(e,"x"),k=w.makeCalcdata(e,"y"),M=o(e,_,"x",T),A=o(e,w,"y",k),S=e._length,E=new Array(S),C=e.ids,L=m(e,b,_,w),I=!1;d(b,e);var P,z="x",O="y";L?(i.pushUnique(L.traceIndices,e._expandedIndex),(r="v"===L.orientation)?(O="s",P="x"):(z="s",P="y"),y="interpolate"===L.stackgaps):h(t,e,_,w,M,A,p(e,S));var D=!!e.xperiodalignment,R=!!e.yperiodalignment;for(l=0;l<S;l++){var F=E[l]={},B=n(M[l]),N=n(A[l]);B&&N?(F[z]=M[l],F[O]=A[l],D&&(F.orig_x=T[l]),R&&(F.orig_y=k[l])):L&&(r?B:N)?(F[P]=r?M[l]:A[l],F.gap=!0,y?(F.s=s,I=!0):F.s=0):F[z]=F[O]=s,C&&(F.id=String(C[l]))}if(u(E,e),c(t,e),f(E,e),L){for(l=0;l<E.length;)E[l][P]===s?E.splice(l,1):l++;if(i.sort(E,(function(t,e){return t[P]-e[P]||t.i-e.i})),I){for(l=0;l<E.length-1&&E[l].gap;)l++;for((x=E[l].s)||(x=E[l].s=0),g=0;g<l;g++)E[g].s=x;for(v=E.length-1;v>l&&E[v].gap;)v--;for(x=E[v].s,g=E.length-1;g>v;g--)E[g].s=x;for(;lA[u]&&u=0;i--){var a=t[i];if("scatter"===a.type&&a.xaxis===r.xaxis&&a.yaxis===r.yaxis){a.opacity=void 0;break}}}}}},{}],1194:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../registry"),a=t("./attributes"),o=t("./constants"),s=t("./subtypes"),l=t("./xy_defaults"),c=t("./period_defaults"),u=t("./stack_defaults"),f=t("./marker_defaults"),h=t("./line_defaults"),p=t("./line_shape_defaults"),d=t("./text_defaults"),g=t("./fillcolor_defaults");e.exports=function(t,e,r,m){function v(r,i){return n.coerce(t,e,a,r,i)}var y=l(t,e,m,v);if(y||(e.visible=!1),e.visible){c(t,e,m,v);var x=u(t,e,m,v),b=!x&&yG!=(F=P[L][1])>=G&&(O=P[L-1][0],D=P[L][0],F-R&&(z=O+(D-O)*(G-R)/(F-R),U=Math.min(U,z),V=Math.max(V,z)));U=Math.max(U,0),V=Math.min(V,h._length);var Y=s.defaultLine;return s.opacity(f.fillcolor)?Y=f.fillcolor:s.opacity((f.line||{}).color)&&(Y=f.line.color),n.extendFlat(t,{distance:t.maxHoverDistance,x0:U,x1:V,y0:G,y1:G,color:Y,hovertemplate:!1}),delete t.index,f.text&&!Array.isArray(f.text)?t.text=String(f.text):t.text=f.name,[t]}}}},{"../../components/color":643,"../../components/fx":683,"../../lib":778,"../../registry":911,"./get_trace_color":1197}],1199:[function(t,e,r){"use strict";var n=t("./subtypes");e.exports={hasLines:n.hasLines,hasMarkers:n.hasMarkers,hasText:n.hasText,isBubble:n.isBubble,attributes:t("./attributes"),supplyDefaults:t("./defaults"),crossTraceDefaults:t("./cross_trace_defaults"),calc:t("./calc").calc,crossTraceCalc:t("./cross_trace_calc"),arraysToCalcdata:t("./arrays_to_calcdata"),plot:t("./plot"),colorbar:t("./marker_colorbar"),formatLabels:t("./format_labels"),style:t("./style").style,styleOnSelect:t("./style").styleOnSelect,hoverPoints:t("./hover"),selectPoints:t("./select"),animatable:!0,moduleType:"trace",name:"scatter",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","symbols","errorBarsOK","showLegend","scatter-like","zoomScale"],meta:{}}},{"../../plots/cartesian":841,"./arrays_to_calcdata":1186,"./attributes":1187,"./calc":1188,"./cross_trace_calc":1192,"./cross_trace_defaults":1193,"./defaults":1194,"./format_labels":1196,"./hover":1198,"./marker_colorbar":1205,"./plot":1208,"./select":1209,"./style":1211,"./subtypes":1212}],1200:[function(t,e,r){"use strict";var n=t("../../lib").isArrayOrTypedArray,i=t("../../components/colorscale/helpers").hasColorscale,a=t("../../components/colorscale/defaults");e.exports=function(t,e,r,o,s,l){var c=(t.marker||{}).color;(s("line.color",r),i(t,"line"))?a(t,e,o,s,{prefix:"line.",cLetter:"c"}):s("line.color",!n(c)&&c||r);s("line.width"),(l||{}).noDash||s("line.dash")}},{"../../components/colorscale/defaults":653,"../../components/colorscale/helpers":654,"../../lib":778}],1201:[function(t,e,r){"use strict";var n=t("../../constants/numerical"),i=n.BADNUM,a=n.LOG_CLIP,o=a+.5,s=a-.5,l=t("../../lib"),c=l.segmentsIntersect,u=l.constrain,f=t("./constants");e.exports=function(t,e){var r,n,a,h,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S=e.xaxis,E=e.yaxis,C="log"===S.type,L="log"===E.type,I=S._length,P=E._length,z=e.connectGaps,O=e.baseTolerance,D=e.shape,R="linear"===D,F=e.fill&&"none"!==e.fill,B=[],N=f.minTolerance,j=t.length,U=new Array(j),V=0;function q(r){var n=t[r];if(!n)return!1;var a=e.linearized?S.l2p(n.x):S.c2p(n.x),l=e.linearized?E.l2p(n.y):E.c2p(n.y);if(a===i){if(C&&(a=S.c2p(n.x,!0)),a===i)return!1;L&&l===i&&(a*=Math.abs(S._m*P*(S._m>0?o:s)/(E._m*I*(E._m>0?o:s)))),a*=1e3}if(l===i){if(L&&(l=E.c2p(n.y,!0)),l===i)return!1;l*=1e3}return[a,l]}function H(t,e,r,n){var i=r-t,a=n-e,o=.5-t,s=.5-e,l=i*i+a*a,c=i*o+a*s;if(c>0&&crt||t[1]it)return[u(t[0],et,rt),u(t[1],nt,it)]}function st(t,e){return t[0]===e[0]&&(t[0]===et||t[0]===rt)||(t[1]===e[1]&&(t[1]===nt||t[1]===it)||void 0)}function lt(t,e,r){return function(n,i){var a=ot(n),o=ot(i),s=[];if(a&&o&&st(a,o))return s;a&&s.push(a),o&&s.push(o);var c=2*l.constrain((n[t]+i[t])/2,e,r)-((a||n)[t]+(o||i)[t]);c&&((a&&o?c>0==a[t]>o[t]?a:o:a||o)[t]+=c);return s}}function ct(t){var e=t[0],r=t[1],n=e===U[V-1][0],i=r===U[V-1][1];if(!n||!i)if(V>1){var a=e===U[V-2][0],o=r===U[V-2][1];n&&(e===et||e===rt)&&a?o?V--:U[V-1]=t:i&&(r===nt||r===it)&&o?a?V--:U[V-1]=t:U[V++]=t}else U[V++]=t}function ut(t){U[V-1][0]!==t[0]&&U[V-1][1]!==t[1]&&ct([Z,J]),ct(t),K=null,Z=J=0}function ft(t){if(M=t[0]/I,A=t[1]/P,W=t[0]rt?rt:0,X=t[1]it?it:0,W||X){if(V)if(K){var e=$(K,t);e.length>1&&(ut(e[0]),U[V++]=e[1])}else Q=$(U[V-1],t)[0],U[V++]=Q;else U[V++]=[W||t[0],X||t[1]];var r=U[V-1];W&&X&&(r[0]!==W||r[1]!==X)?(K&&(Z!==W&&J!==X?ct(Z&&J?(n=K,a=(i=t)[0]-n[0],o=(i[1]-n[1])/a,(n[1]*i[0]-i[1]*n[0])/a>0?[o>0?et:rt,it]:[o>0?rt:et,nt]):[Z||W,J||X]):Z&&J&&ct([Z,J])),ct([W,X])):Z-W&&J-X&&ct([W||Z,X||J]),K=t,Z=W,J=X}else K&&ut($(K,t)[0]),U[V++]=t;var n,i,a,o}for("linear"===D||"spline"===D?$=function(t,e){for(var r=[],n=0,i=0;i<4;i++){var a=at[i],o=c(t[0],t[1],e[0],e[1],a[0],a[1],a[2],a[3]);o&&(!n||Math.abs(o.x-r[0][0])>1||Math.abs(o.y-r[0][1])>1)&&(o=[o.x,o.y],n&&Y(o,t)G(d,ht))break;a=d,(_=v[0]*m[0]+v[1]*m[1])>x?(x=_,h=d,g=!1):_=t.length||!d)break;ft(d),n=d}}else ft(h)}K&&ct([Z||K[0],J||K[1]]),B.push(U.slice(0,V))}return B}},{"../../constants/numerical":753,"../../lib":778,"./constants":1191}],1202:[function(t,e,r){"use strict";e.exports=function(t,e,r){"spline"===r("line.shape")&&r("line.smoothing")}},{}],1203:[function(t,e,r){"use strict";var n={tonextx:1,tonexty:1,tonext:1};e.exports=function(t,e,r){var i,a,o,s,l,c={},u=!1,f=-1,h=0,p=-1;for(a=0;a=0?l=p:(l=p=h,h++),l0?Math.max(e,i):0}}},{"fast-isnumeric":241}],1205:[function(t,e,r){"use strict";e.exports={container:"marker",min:"cmin",max:"cmax"}},{}],1206:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("../../components/colorscale/helpers").hasColorscale,a=t("../../components/colorscale/defaults"),o=t("./subtypes");e.exports=function(t,e,r,s,l,c){var u=o.isBubble(t),f=(t.line||{}).color;(c=c||{},f&&(r=f),l("marker.symbol"),l("marker.opacity",u?.7:1),l("marker.size"),l("marker.color",r),i(t,"marker")&&a(t,e,s,l,{prefix:"marker.",cLetter:"c"}),c.noSelect||(l("selected.marker.color"),l("unselected.marker.color"),l("selected.marker.size"),l("unselected.marker.size")),c.noLine||(l("marker.line.color",f&&!Array.isArray(f)&&e.marker.color!==f?f:u?n.background:n.defaultLine),i(t,"marker.line")&&a(t,e,s,l,{prefix:"marker.line.",cLetter:"c"}),l("marker.line.width",u?1:0)),u&&(l("marker.sizeref"),l("marker.sizemin"),l("marker.sizemode")),c.gradient)&&("none"!==l("marker.gradient.type")&&l("marker.gradient.color"))}},{"../../components/color":643,"../../components/colorscale/defaults":653,"../../components/colorscale/helpers":654,"./subtypes":1212}],1207:[function(t,e,r){"use strict";var n=t("../../lib").dateTick0,i=t("../../constants/numerical").ONEWEEK;function a(t,e){return n(e,t%i==0?1:0)}e.exports=function(t,e,r,n,i){if(i||(i={x:!0,y:!0}),i.x){var o=n("xperiod");o&&(n("xperiod0",a(o,e.xcalendar)),n("xperiodalignment"))}if(i.y){var s=n("yperiod");s&&(n("yperiod0",a(s,e.ycalendar)),n("yperiodalignment"))}}},{"../../constants/numerical":753,"../../lib":778}],1208:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../registry"),a=t("../../lib"),o=a.ensureSingle,s=a.identity,l=t("../../components/drawing"),c=t("./subtypes"),u=t("./line_points"),f=t("./link_traces"),h=t("../../lib/polygon").tester;function p(t,e,r,f,p,d,g){var m;!function(t,e,r,i,o){var s=r.xaxis,l=r.yaxis,u=n.extent(a.simpleMap(s.range,s.r2c)),f=n.extent(a.simpleMap(l.range,l.r2c)),h=i[0].trace;if(!c.hasMarkers(h))return;var p=h.marker.maxdisplayed;if(0===p)return;var d=i.filter((function(t){return t.x>=u[0]&&t.x<=u[1]&&t.y>=f[0]&&t.y<=f[1]})),g=Math.ceil(d.length/p),m=0;o.forEach((function(t,r){var n=t[0].trace;c.hasMarkers(n)&&n.marker.maxdisplayed>0&&r0;function y(t){return v?t.transition():t}var x=r.xaxis,b=r.yaxis,_=f[0].trace,w=_.line,T=n.select(d),k=o(T,"g","errorbars"),M=o(T,"g","lines"),A=o(T,"g","points"),S=o(T,"g","text");if(i.getComponentMethod("errorbars","plot")(t,k,r,g),!0===_.visible){var E,C;y(T).style("opacity",_.opacity);var L=_.fill.charAt(_.fill.length-1);"x"!==L&&"y"!==L&&(L=""),f[0][r.isRangePlot?"nodeRangePlot3":"node3"]=T;var I,P,z="",O=[],D=_._prevtrace;D&&(z=D._prevRevpath||"",C=D._nextFill,O=D._polygons);var R,F,B,N,j,U,V,q="",H="",G=[],Y=a.noop;if(E=_._ownFill,c.hasLines(_)||"none"!==_.fill){for(C&&C.datum(f),-1!==["hv","vh","hvh","vhv"].indexOf(w.shape)?(R=l.steps(w.shape),F=l.steps(w.shape.split("").reverse().join(""))):R=F="spline"===w.shape?function(t){var e=t[t.length-1];return t.length>1&&t[0][0]===e[0]&&t[0][1]===e[1]?l.smoothclosed(t.slice(1),w.smoothing):l.smoothopen(t,w.smoothing)}:function(t){return"M"+t.join("L")},B=function(t){return F(t.reverse())},G=u(f,{xaxis:x,yaxis:b,connectGaps:_.connectgaps,baseTolerance:Math.max(w.width||1,3)/4,shape:w.shape,simplify:w.simplify,fill:_.fill}),V=_._polygons=new Array(G.length),m=0;m1){var r=n.select(this);if(r.datum(f),t)y(r.style("opacity",0).attr("d",I).call(l.lineGroupStyle)).style("opacity",1);else{var i=y(r);i.attr("d",I),l.singleLineStyle(f,i)}}}}}var W=M.selectAll(".js-line").data(G);y(W.exit()).style("opacity",0).remove(),W.each(Y(!1)),W.enter().append("path").classed("js-line",!0).style("vector-effect","non-scaling-stroke").call(l.lineGroupStyle).each(Y(!0)),l.setClipUrl(W,r.layerClipId,t),G.length?(E?(E.datum(f),N&&U&&(L?("y"===L?N[1]=U[1]=b.c2p(0,!0):"x"===L&&(N[0]=U[0]=x.c2p(0,!0)),y(E).attr("d","M"+U+"L"+N+"L"+q.substr(1)).call(l.singleFillStyle)):y(E).attr("d",q+"Z").call(l.singleFillStyle))):C&&("tonext"===_.fill.substr(0,6)&&q&&z?("tonext"===_.fill?y(C).attr("d",q+"Z"+z+"Z").call(l.singleFillStyle):y(C).attr("d",q+"L"+z.substr(1)+"Z").call(l.singleFillStyle),_._polygons=_._polygons.concat(O)):(Z(C),_._polygons=null)),_._prevRevpath=H,_._prevPolygons=V):(E?Z(E):C&&Z(C),_._polygons=_._prevRevpath=_._prevPolygons=null),A.datum(f),S.datum(f),function(e,i,a){var o,u=a[0].trace,f=c.hasMarkers(u),h=c.hasText(u),p=tt(u),d=et,g=et;if(f||h){var m=s,_=u.stackgroup,w=_&&"infer zero"===t._fullLayout._scatterStackOpts[x._id+b._id][_].stackgaps;u.marker.maxdisplayed||u._needsCull?m=w?K:J:_&&!w&&(m=Q),f&&(d=m),h&&(g=m)}var T,k=(o=e.selectAll("path.point").data(d,p)).enter().append("path").classed("point",!0);v&&k.call(l.pointStyle,u,t).call(l.translatePoints,x,b).style("opacity",0).transition().style("opacity",1),o.order(),f&&(T=l.makePointStyleFns(u)),o.each((function(e){var i=n.select(this),a=y(i);l.translatePoint(e,a,x,b)?(l.singlePointStyle(e,a,u,T,t),r.layerClipId&&l.hideOutsideRangePoint(e,a,x,b,u.xcalendar,u.ycalendar),u.customdata&&i.classed("plotly-customdata",null!==e.data&&void 0!==e.data)):a.remove()})),v?o.exit().transition().style("opacity",0).remove():o.exit().remove(),(o=i.selectAll("g").data(g,p)).enter().append("g").classed("textpoint",!0).append("text"),o.order(),o.each((function(t){var e=n.select(this),i=y(e.select("text"));l.translatePoint(t,i,x,b)?r.layerClipId&&l.hideOutsideRangePoint(t,e,x,b,u.xcalendar,u.ycalendar):e.remove()})),o.selectAll("text").call(l.textPointStyle,u,t).each((function(t){var e=x.c2p(t.x),r=b.c2p(t.y);n.select(this).selectAll("tspan.line").each((function(){y(n.select(this)).attr({x:e,y:r})}))})),o.exit().remove()}(A,S,f);var X=!1===_.cliponaxis?null:r.layerClipId;l.setClipUrl(A,X,t),l.setClipUrl(S,X,t)}function Z(t){y(t).attr("d","M0,0Z")}function J(t){return t.filter((function(t){return!t.gap&&t.vis}))}function K(t){return t.filter((function(t){return t.vis}))}function Q(t){return t.filter((function(t){return!t.gap}))}function $(t){return t.id}function tt(t){if(t.ids)return $}function et(){return!1}}e.exports=function(t,e,r,i,a,c){var u,h,d=!a,g=!!a&&a.duration>0,m=f(t,e,r);((u=i.selectAll("g.trace").data(m,(function(t){return t[0].trace.uid}))).enter().append("g").attr("class",(function(t){return"trace scatter trace"+t[0].trace.uid})).style("stroke-miterlimit",2),u.order(),function(t,e,r){e.each((function(e){var i=o(n.select(this),"g","fills");l.setClipUrl(i,r.layerClipId,t);var a=e[0].trace,c=[];a._ownfill&&c.push("_ownFill"),a._nexttrace&&c.push("_nextFill");var u=i.selectAll("g").data(c,s);u.enter().append("g"),u.exit().each((function(t){a[t]=null})).remove(),u.order().each((function(t){a[t]=o(n.select(this),"path","js-fill")}))}))}(t,u,e),g)?(c&&(h=c()),n.transition().duration(a.duration).ease(a.easing).each("end",(function(){h&&h()})).each("interrupt",(function(){h&&h()})).each((function(){i.selectAll("g.trace").each((function(r,n){p(t,n,e,r,m,this,a)}))}))):u.each((function(r,n){p(t,n,e,r,m,this,a)}));d&&u.exit().remove(),i.selectAll("path:not([d])").remove()}},{"../../components/drawing":665,"../../lib":778,"../../lib/polygon":790,"../../registry":911,"./line_points":1201,"./link_traces":1203,"./subtypes":1212,d3:169}],1209:[function(t,e,r){"use strict";var n=t("./subtypes");e.exports=function(t,e){var r,i,a,o,s=t.cd,l=t.xaxis,c=t.yaxis,u=[],f=s[0].trace;if(!n.hasMarkers(f)&&!n.hasText(f))return[];if(!1===e)for(r=0;r0){var h=i.c2l(u);i._lowerLogErrorBound||(i._lowerLogErrorBound=h),i._lowerErrorBound=Math.min(i._lowerLogErrorBound,h)}}else o[s]=[-l[0]*r,l[1]*r]}return o}e.exports=function(t,e,r){var n=[i(t.x,t.error_x,e[0],r.xaxis),i(t.y,t.error_y,e[1],r.yaxis),i(t.z,t.error_z,e[2],r.zaxis)],a=function(t){for(var e=0;e-1?-1:t.indexOf("right")>-1?1:0}function b(t){return null==t?0:t.indexOf("top")>-1?-1:t.indexOf("bottom")>-1?1:0}function _(t,e){return e(4*t)}function w(t){return p[t]}function T(t,e,r,n,i){var a=null;if(l.isArrayOrTypedArray(t)){a=[];for(var o=0;o=0){var g=function(t,e,r){var n,i=(r+1)%3,a=(r+2)%3,o=[],l=[];for(n=0;n=0&&f("surfacecolor",h||p);for(var d=["x","y","z"],g=0;g<3;++g){var m="projection."+d[g];f(m+".show")&&(f(m+".opacity"),f(m+".scale"))}var v=n.getComponentMethod("errorbars","supplyDefaults");v(t,e,h||p||r,{axis:"z"}),v(t,e,h||p||r,{axis:"y",inherit:"z"}),v(t,e,h||p||r,{axis:"x",inherit:"z"})}else e.visible=!1}},{"../../lib":778,"../../registry":911,"../scatter/line_defaults":1200,"../scatter/marker_defaults":1206,"../scatter/subtypes":1212,"../scatter/text_defaults":1213,"./attributes":1215}],1220:[function(t,e,r){"use strict";e.exports={plot:t("./convert"),attributes:t("./attributes"),markerSymbols:t("../../constants/gl3d_markers"),supplyDefaults:t("./defaults"),colorbar:[{container:"marker",min:"cmin",max:"cmax"},{container:"line",min:"cmin",max:"cmax"}],calc:t("./calc"),moduleType:"trace",name:"scatter3d",basePlotModule:t("../../plots/gl3d"),categories:["gl3d","symbols","showLegend","scatter-like"],meta:{}}},{"../../constants/gl3d_markers":751,"../../plots/gl3d":870,"./attributes":1215,"./calc":1216,"./convert":1218,"./defaults":1219}],1221:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../../plots/attributes"),a=t("../../plots/template_attributes").hovertemplateAttrs,o=t("../../plots/template_attributes").texttemplateAttrs,s=t("../../components/colorscale/attributes"),l=t("../../lib/extend").extendFlat,c=n.marker,u=n.line,f=c.line;e.exports={carpet:{valType:"string",editType:"calc"},a:{valType:"data_array",editType:"calc"},b:{valType:"data_array",editType:"calc"},mode:l({},n.mode,{dflt:"markers"}),text:l({},n.text,{}),texttemplate:o({editType:"plot"},{keys:["a","b","text"]}),hovertext:l({},n.hovertext,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:l({},u.shape,{values:["linear","spline"]}),smoothing:u.smoothing,editType:"calc"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:["none","toself","tonext"],dflt:"none"}),fillcolor:n.fillcolor,marker:l({symbol:c.symbol,opacity:c.opacity,maxdisplayed:c.maxdisplayed,size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,line:l({width:f.width,editType:"calc"},s("marker.line")),gradient:c.gradient,editType:"calc"},s("marker")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},i.hoverinfo,{flags:["a","b","text","name"]}),hoveron:n.hoveron,hovertemplate:a()}},{"../../components/colorscale/attributes":650,"../../lib/extend":768,"../../plots/attributes":824,"../../plots/template_attributes":906,"../scatter/attributes":1187}],1222:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../scatter/colorscale_calc"),a=t("../scatter/arrays_to_calcdata"),o=t("../scatter/calc_selection"),s=t("../scatter/calc").calcMarkerSize,l=t("../carpet/lookup_carpetid");e.exports=function(t,e){var r=e._carpetTrace=l(t,e);if(r&&r.visible&&"legendonly"!==r.visible){var c;e.xaxis=r.xaxis,e.yaxis=r.yaxis;var u,f,h=e._length,p=new Array(h),d=!1;for(c=0;c<h;c++)if(u=e.a[c],f=e.b[c],n(u)&&n(f)){var g=r.ab2xy(+u,+f,!0),m=r.isVisible(+u,+f);m||(d=!0),p[c]={x:g[0],y:g[1],a:u,b:f,vis:m}}else p[c]={x:!1,y:!1};return e._needsCull=d,p[0].carpet=r,p[0].trace=e,s(e,h),i(t,e),a(p,e),o(p,e),p}}},{"../carpet/lookup_carpetid":981,"../scatter/arrays_to_calcdata":1186,"../scatter/calc":1188,"../scatter/calc_selection":1189,"../scatter/colorscale_calc":1190,"fast-isnumeric":241}],1223:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../scatter/constants"),a=t("../scatter/subtypes"),o=t("../scatter/marker_defaults"),s=t("../scatter/line_defaults"),l=t("../scatter/line_shape_defaults"),c=t("../scatter/text_defaults"),u=t("../scatter/fillcolor_defaults"),f=t("./attributes");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}p("carpet"),e.xaxis="x",e.yaxis="y";var d=p("a"),g=p("b"),m=Math.min(d.length,g.length);if(m){e._length=m,p("text"),p("texttemplate"),p("hovertext"),p("mode",m<i.PTS_LINESONLY?"lines+markers":"lines"),a.hasLines(e)&&(s(t,e,r,h,p),l(t,e,p),p("connectgaps")),a.hasMarkers(e)&&o(t,e,r,h,p,{gradient:!0}),a.hasText(e)&&c(t,e,h,p);var v=[];(a.hasMarkers(e)||a.hasText(e))&&(p("marker.maxdisplayed"),v.push("points")),p("fill"),"none"!==e.fill&&(u(t,e,r,p),a.hasLines(e)||l(t,e,p)),"tonext"!==e.fill&&"toself"!==e.fill||v.push("fills"),"fills"!==p("hoveron",v.join("+")||"points")&&p("hovertemplate"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{"../../lib":778,"../scatter/constants":1191,"../scatter/fillcolor_defaults":1195,"../scatter/line_defaults":1200,"../scatter/line_shape_defaults":1202,"../scatter/marker_defaults":1206,"../scatter/subtypes":1212,"../scatter/text_defaults":1213,"./attributes":1221}],1224:[function(t,e,r){"use strict";e.exports=function(t,e,r,n,i){var a=n[i];return t.a=a.a,t.b=a.b,t.y=a.y,t}},{}],1225:[function(t,e,r){"use strict";e.exports=function(t,e){var r={},n=e._carpet,i=n.ab2ij([t.a,t.b]),a=Math.floor(i[0]),o=i[0]-a,s=Math.floor(i[1]),l=i[1]-s,c=n.evalxy([],a,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],1226:[function(t,e,r){"use strict";var n=t("../scatter/hover"),i=t("../../lib").fillText;e.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,f=c-u;return s.x0=Math.max(Math.min(s.x0,f),u),s.x1=Math.max(Math.min(s.x1,f),u),o}var h=s.cd[s.index];s.a=h.a,s.b=h.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,g=p._module.formatLabels(h,p);s.yLabel=g.yLabel,delete s.text;var m=[];if(!p.hovertemplate){var v=(h.hi||p.hoverinfo).split("+");-1!==v.indexOf("all")&&(v=["a","b","text"]),-1!==v.indexOf("a")&&y(d.aaxis,h.a),-1!==v.indexOf("b")&&y(d.baxis,h.b),m.push("y: "+s.yLabel),-1!==v.indexOf("text")&&i(h,p,m),s.extraText=m.join("<br>")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,""):t._hovertitle,m.push(r+": "+e.toFixed(3)+t.labelsuffix)}}},{"../../lib":778,"../scatter/hover":1198}],1227:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../scatter/marker_colorbar"),formatLabels:t("./format_labels"),calc:t("./calc"),plot:t("./plot"),style:t("../scatter/style").style,styleOnSelect:t("../scatter/style").styleOnSelect,hoverPoints:t("./hover"),selectPoints:t("../scatter/select"),eventData:t("./event_data"),moduleType:"trace",name:"scattercarpet",basePlotModule:t("../../plots/cartesian"),categories:["svg","carpet","symbols","showLegend","carpetDependent","zoomScale"],meta:{}}},{"../../plots/cartesian":841,"../scatter/marker_colorbar":1205,"../scatter/select":1209,"../scatter/style":1211,"./attributes":1221,"./calc":1222,"./defaults":1223,"./event_data":1224,"./format_labels":1225,"./hover":1226,"./plot":1228}],1228:[function(t,e,r){"use strict";var n=t("../scatter/plot"),i=t("../../plots/cartesian/axes"),a=t("../../components/drawing");e.exports=function(t,e,r,o){var s,l,c,u=r[0][0].carpet,f={xaxis:i.getFromId(t,u.xaxis||"x"),yaxis:i.getFromId(t,u.yaxis||"y"),plot:e.plot};for(n(t,f,r,o),s=0;s")}(c,g,t,l[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}}},{"../../components/fx":683,"../../constants/numerical":753,"../../lib":778,"../scatter/get_trace_color":1197,"./attributes":1229}],1235:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../scatter/marker_colorbar"),formatLabels:t("./format_labels"),calc:t("./calc"),calcGeoJSON:t("./plot").calcGeoJSON,plot:t("./plot").plot,style:t("./style"),styleOnSelect:t("../scatter/style").styleOnSelect,hoverPoints:t("./hover"),eventData:t("./event_data"),selectPoints:t("./select"),moduleType:"trace",name:"scattergeo",basePlotModule:t("../../plots/geo"),categories:["geo","symbols","showLegend","scatter-like"],meta:{}}},{"../../plots/geo":860,"../scatter/marker_colorbar":1205,"../scatter/style":1211,"./attributes":1229,"./calc":1230,"./defaults":1231,"./event_data":1232,"./format_labels":1233,"./hover":1234,"./plot":1236,"./select":1237,"./style":1238}],1236:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../lib"),a=t("../../lib/topojson_utils").getTopojsonFeatures,o=t("../../lib/geojson_utils"),s=t("../../lib/geo_location_utils"),l=t("../../plots/cartesian/autorange").findExtremes,c=t("../../constants/numerical").BADNUM,u=t("../scatter/calc").calcMarkerSize,f=t("../scatter/subtypes"),h=t("./style");e.exports={calcGeoJSON:function(t,e){var r,n,i=t[0].trace,o=e[i.geo],f=o._subplot,h=i._length;if(Array.isArray(i.locations)){var p=i.locationmode,d="geojson-id"===p?s.extractTraceFeature(t):a(i,f.topojson);for(r=0;r=m,k=2*w,M={},A=x.makeCalcdata(e,"x"),S=b.makeCalcdata(e,"y"),E=s(e,x,"x",A),C=s(e,b,"y",S);e._x=E,e._y=C,e.xperiodalignment&&(e._origX=A),e.yperiodalignment&&(e._origY=S);var L=new Array(k);for(r=0;r1&&i.extendFlat(s.line,p.linePositions(t,r,n));if(s.errorX||s.errorY){var l=p.errorBarPositions(t,r,n,a,o);s.errorX&&i.extendFlat(s.errorX,l.x),s.errorY&&i.extendFlat(s.errorY,l.y)}s.text&&(i.extendFlat(s.text,{positions:n},p.textPosition(t,r,s.text,s.marker)),i.extendFlat(s.textSel,{positions:n},p.textPosition(t,r,s.text,s.markerSel)),i.extendFlat(s.textUnsel,{positions:n},p.textPosition(t,r,s.text,s.markerUnsel)));return s}(t,0,e,L,E,C),O=d(t,_);return f(y,e),T?z.marker&&(P=2*(z.marker.sizeAvg||Math.max(z.marker.size,3))):P=c(e,w),u(t,e,x,b,E,C,P),z.errorX&&v(e,x,z.errorX),z.errorY&&v(e,b,z.errorY),z.fill&&!O.fill2d&&(O.fill2d=!0),z.marker&&!O.scatter2d&&(O.scatter2d=!0),z.line&&!O.line2d&&(O.line2d=!0),!z.errorX&&!z.errorY||O.error2d||(O.error2d=!0),z.text&&!O.glText&&(O.glText=!0),z.marker&&(z.marker.snap=w),O.lineOptions.push(z.line),O.errorXOptions.push(z.errorX),O.errorYOptions.push(z.errorY),O.fillOptions.push(z.fill),O.markerOptions.push(z.marker),O.markerSelectedOptions.push(z.markerSel),O.markerUnselectedOptions.push(z.markerUnsel),O.textOptions.push(z.text),O.textSelectedOptions.push(z.textSel),O.textUnselectedOptions.push(z.textUnsel),O.selectBatch.push([]),O.unselectBatch.push([]),M._scene=O,M.index=O.count,M.x=E,M.y=C,M.positions=L,O.count++,[{x:!1,y:!1,t:M,trace:e}]}},{"../../constants/numerical":753,"../../lib":778,"../../plots/cartesian/align_period":825,"../../plots/cartesian/autorange":827,"../../plots/cartesian/axis_ids":831,"../scatter/calc":1188,"../scatter/colorscale_calc":1190,"./constants":1241,"./convert":1242,"./scene_update":1250,"@plotly/point-cluster":57}],1241:[function(t,e,r){"use strict";e.exports={TOO_MANY_POINTS:1e5,SYMBOL_SDF_SIZE:200,SYMBOL_SIZE:20,SYMBOL_STROKE:1,DOT_RE:/-dot/,OPEN_RE:/-open/,DASHES:{solid:[1],dot:[1,1],dash:[4,1],longdash:[8,1],dashdot:[4,1,1,1],longdashdot:[8,1,1,1]}}},{}],1242:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("svg-path-sdf"),a=t("color-normalize"),o=t("../../registry"),s=t("../../lib"),l=t("../../components/drawing"),c=t("../../plots/cartesian/axis_ids"),u=t("../../lib/gl_format_color").formatColor,f=t("../scatter/subtypes"),h=t("../scatter/make_bubble_size_func"),p=t("./helpers"),d=t("./constants"),g=t("../../constants/interactions").DESELECTDIM,m={start:1,left:1,end:-1,right:-1,middle:0,center:0,bottom:1,top:-1},v=t("../../components/fx/helpers").appendArrayPointValue;function y(t,e){var r,i=t._fullLayout,a=e._length,o=e.textfont,l=e.textposition,c=Array.isArray(l)?l:[l],u=o.color,f=o.size,h=o.family,p={},d=e.texttemplate;if(d){p.text=[];var g=i._d3locale,m=Array.isArray(d),y=m?Math.min(d.length,a):a,x=m?function(t){return d[t]}:function(){return d};for(r=0;rd.TOO_MANY_POINTS||f.hasMarkers(e)?"rect":"round";if(c&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,g=m[p],v=m[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[g*y/h,x/h]}}return o}}},{"../../components/drawing":665,"../../components/fx/helpers":679,"../../constants/interactions":752,"../../lib":778,"../../lib/gl_format_color":774,"../../plots/cartesian/axis_ids":831,"../../registry":911,"../scatter/make_bubble_size_func":1204,"../scatter/subtypes":1212,"./constants":1241,"./helpers":1246,"color-normalize":125,"fast-isnumeric":241,"svg-path-sdf":574}],1243:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../registry"),a=t("./helpers"),o=t("./attributes"),s=t("../scatter/constants"),l=t("../scatter/subtypes"),c=t("../scatter/xy_defaults"),u=t("../scatter/period_defaults"),f=t("../scatter/marker_defaults"),h=t("../scatter/line_defaults"),p=t("../scatter/fillcolor_defaults"),d=t("../scatter/text_defaults");e.exports=function(t,e,r,g){function m(r,i){return n.coerce(t,e,o,r,i)}var v=!!t.marker&&a.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,g,m);if(x){u(t,e,g,m);var b=x100},r.isDotSymbol=function(t){return"string"==typeof t?n.DOT_RE.test(t):t>200}},{"./constants":1241}],1247:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("../scatter/get_trace_color");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var g=d&&d.line;g&&(h.mlc=Array.isArray(g.color)?g.color[f]:g.color,h.mlw=i.isArrayOrTypedArray(g.width)?g.width[f]:g.width);var m=d&&d.gradient;m&&"none"!==m.type&&(h.mgt=Array.isArray(m.type)?m.type[f]:m.type,h.mgc=Array.isArray(m.color)?m.color[f]:m.color);var v=s.c2p(h.x,!0),y=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,M=o._origY,A=i.extendFlat({},t,{color:a(o,h),x0:v-x,x1:v+x,xLabelVal:k?k[f]:h.x,y0:y-x,y1:y+x,yLabelVal:M?M[f]:h.y,cd:T,distance:c,spikeDistance:u,hovertemplate:h.ht});return h.htx?A.text=h.htx:h.tx?A.text=h.tx:o.text&&(A.text=o.text),i.fillText(h,o,A),n.getComponentMethod("errorbars","hoverInfo")(h,o,A),A}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,f,h,p,d=t.cd,g=d[0].t,m=d[0].trace,v=t.xa,y=t.ya,x=g.x,b=g.y,_=v.c2p(e),w=y.c2p(r),T=t.distance;if(g.tree){var k=v.p2c(_-T),M=v.p2c(_+T),A=y.p2c(w-T),S=y.p2c(w+T);i="x"===n?g.tree.range(Math.min(k,M),Math.min(y._rl[0],y._rl[1]),Math.max(k,M),Math.max(y._rl[0],y._rl[1])):g.tree.range(Math.min(k,M),Math.min(A,S),Math.max(k,M),Math.max(A,S))}else i=g.ids;var E=T;if("x"===n)for(c=0;c-1;c--)s=x[i[c]],l=b[i[c]],u=v.c2p(s)-_,f=y.c2p(l)-w,(h=Math.sqrt(u*u+f*f))v.glText.length){var w=b-v.glText.length;for(d=0;dr&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),v.line2d.update(v.lineOptions)),v.error2d){var k=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(k)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,b),v.fill2d&&(v.fillOptions=v.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var f,h,p=[],d=c&&c.positions||l.positions;if("tozeroy"===s.fill){for(f=0;ff&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if("tozerox"===s.fill){for(f=0;ff&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else if("toself"===s.fill||"tonext"===s.fill){for(p=[],i=0,a=0;a-1;for(d=0;d=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),d=e-p;if(n.getClosest(l,(function(t){var e=t.lonlat;if(e[0]===s)return 1/0;var n=i.modHalf(e[0],360),a=e[1],o=h.project([n,a]),l=o.x-u.c2p([d,a]),c=o.y-f.c2p([n,r]),p=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+c*c)-p,1-3/p)}),t),!1!==t.index){var g=l[t.index],m=g.lonlat,v=[i.modHalf(m[0],360)+p,m[1]],y=u.c2p(v),x=f.c2p(v),b=g.mrc||1;t.x0=y-b,t.x1=y+b,t.y0=x-b,t.y1=x+b;var _={};_[c.subplot]={_subplot:h};var w=c._module.formatLabels(g,c,_);return t.lonLabel=w.lonLabel,t.latLabel=w.latLabel,t.color=a(c,g),t.extraText=function(t,e,r){if(t.hovertemplate)return;var n=(e.hi||t.hoverinfo).split("+"),i=-1!==n.indexOf("all"),a=-1!==n.indexOf("lon"),s=-1!==n.indexOf("lat"),l=e.lonlat,c=[];function u(t){return t+"\xb0"}i||a&&s?c.push("("+u(l[0])+", "+u(l[1])+")"):a?c.push(r.lon+u(l[0])):s&&c.push(r.lat+u(l[1]));(i||-1!==n.indexOf("text"))&&o(e,t,c);return c.join("
")}(c,g,l[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}}},{"../../components/fx":683,"../../constants/numerical":753,"../../lib":778,"../scatter/get_trace_color":1197}],1258:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../scatter/marker_colorbar"),formatLabels:t("./format_labels"),calc:t("../scattergeo/calc"),plot:t("./plot"),hoverPoints:t("./hover"),eventData:t("./event_data"),selectPoints:t("./select"),styleOnSelect:function(t,e){e&&e[0].trace._glTrace.update(e)},moduleType:"trace",name:"scattermapbox",basePlotModule:t("../../plots/mapbox"),categories:["mapbox","gl","symbols","showLegend","scatter-like"],meta:{}}},{"../../plots/mapbox":885,"../scatter/marker_colorbar":1205,"../scattergeo/calc":1230,"./attributes":1252,"./defaults":1254,"./event_data":1255,"./format_labels":1256,"./hover":1257,"./plot":1259,"./select":1260}],1259:[function(t,e,r){"use strict";var n=t("./convert"),i=t("../../plots/mapbox/constants").traceLayerPrefix,a=["fill","line","circle","symbol"];function o(t,e){this.type="scattermapbox",this.subplot=t,this.uid=e,this.sourceIds={fill:"source-"+e+"-fill",line:"source-"+e+"-line",circle:"source-"+e+"-circle",symbol:"source-"+e+"-symbol"},this.layerIds={fill:i+e+"-fill",line:i+e+"-line",circle:i+e+"-circle",symbol:i+e+"-symbol"},this.below=null}var s=o.prototype;s.addSource=function(t,e){this.subplot.map.addSource(this.sourceIds[t],{type:"geojson",data:e.geojson})},s.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},s.addLayer=function(t,e,r){this.subplot.addLayer({type:t,id:this.layerIds[t],source:this.sourceIds[t],layout:e.layout,paint:e.paint},r)},s.update=function(t){var e,r,i,o=this.subplot,s=o.map,l=n(o.gd,t),c=o.belowLookup["trace-"+this.uid];if(c!==this.below){for(e=a.length-1;e>=0;e--)r=a[e],s.removeLayer(this.layerIds[r]);for(e=0;e=0;e--){var r=a[e];t.removeLayer(this.layerIds[r]),t.removeSource(this.sourceIds[r])}},e.exports=function(t,e){for(var r=e[0].trace,i=new o(t,r.uid),s=n(t.gd,e),l=i.below=t.belowLookup["trace-"+r.uid],c=0;c")}}e.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,c=s.cd[s.index],u=s.trace;if(l.isPtInside(c))return s.xLabelVal=void 0,s.yLabelVal=void 0,i(c,u,l,s),s.hovertemplate=u.hovertemplate,o}},makeHoverPointText:i}},{"../scatter/hover":1198}],1266:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"scatterpolar",basePlotModule:t("../../plots/polar"),categories:["polar","symbols","showLegend","scatter-like"],attributes:t("./attributes"),supplyDefaults:t("./defaults").supplyDefaults,colorbar:t("../scatter/marker_colorbar"),formatLabels:t("./format_labels"),calc:t("./calc"),plot:t("./plot"),style:t("../scatter/style").style,styleOnSelect:t("../scatter/style").styleOnSelect,hoverPoints:t("./hover").hoverPoints,selectPoints:t("../scatter/select"),meta:{}}},{"../../plots/polar":894,"../scatter/marker_colorbar":1205,"../scatter/select":1209,"../scatter/style":1211,"./attributes":1261,"./calc":1262,"./defaults":1263,"./format_labels":1264,"./hover":1265,"./plot":1267}],1267:[function(t,e,r){"use strict";var n=t("../scatter/plot"),i=t("../../constants/numerical").BADNUM;e.exports=function(t,e,r){for(var a=e.layers.frontplot.select("g.scatterlayer"),o={xaxis:e.xaxis,yaxis:e.yaxis,plot:e.framework,layerClipId:e._hasClipOnAxisFalse?e.clipIds.forTraces:null},s=e.radialAxis,l=e.angularAxis,c=0;c=c&&(y.marker.cluster=d.tree),y.marker&&(y.markerSel.positions=y.markerUnsel.positions=y.marker.positions=_),y.line&&_.length>1&&l.extendFlat(y.line,s.linePositions(t,p,_)),y.text&&(l.extendFlat(y.text,{positions:_},s.textPosition(t,p,y.text,y.marker)),l.extendFlat(y.textSel,{positions:_},s.textPosition(t,p,y.text,y.markerSel)),l.extendFlat(y.textUnsel,{positions:_},s.textPosition(t,p,y.text,y.markerUnsel))),y.fill&&!h.fill2d&&(h.fill2d=!0),y.marker&&!h.scatter2d&&(h.scatter2d=!0),y.line&&!h.line2d&&(h.line2d=!0),y.text&&!h.glText&&(h.glText=!0),h.lineOptions.push(y.line),h.fillOptions.push(y.fill),h.markerOptions.push(y.marker),h.markerSelectedOptions.push(y.markerSel),h.markerUnselectedOptions.push(y.markerUnsel),h.textOptions.push(y.text),h.textSelectedOptions.push(y.textSel),h.textUnselectedOptions.push(y.textUnsel),h.selectBatch.push([]),h.unselectBatch.push([]),d.x=w,d.y=T,d.rawx=w,d.rawy=T,d.r=m,d.theta=v,d.positions=_,d._scene=h,d.index=h.count,h.count++}})),a(t,e,r)}}},{"../../lib":778,"../scattergl/constants":1241,"../scattergl/convert":1242,"../scattergl/plot":1249,"../scattergl/scene_update":1250,"@plotly/point-cluster":57,"fast-isnumeric":241}],1275:[function(t,e,r){"use strict";var n=t("../../plots/template_attributes").hovertemplateAttrs,i=t("../../plots/template_attributes").texttemplateAttrs,a=t("../scatter/attributes"),o=t("../../plots/attributes"),s=t("../../components/colorscale/attributes"),l=t("../../components/drawing/attributes").dash,c=t("../../lib/extend").extendFlat,u=a.marker,f=a.line,h=u.line;e.exports={a:{valType:"data_array",editType:"calc"},b:{valType:"data_array",editType:"calc"},c:{valType:"data_array",editType:"calc"},sum:{valType:"number",dflt:0,min:0,editType:"calc"},mode:c({},a.mode,{dflt:"markers"}),text:c({},a.text,{}),texttemplate:i({editType:"plot"},{keys:["a","b","c","text"]}),hovertext:c({},a.hovertext,{}),line:{color:f.color,width:f.width,dash:l,shape:c({},f.shape,{values:["linear","spline"]}),smoothing:f.smoothing,editType:"calc"},connectgaps:a.connectgaps,cliponaxis:a.cliponaxis,fill:c({},a.fill,{values:["none","toself","tonext"],dflt:"none"}),fillcolor:a.fillcolor,marker:c({symbol:u.symbol,opacity:u.opacity,maxdisplayed:u.maxdisplayed,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,line:c({width:h.width,editType:"calc"},s("marker.line")),gradient:u.gradient,editType:"calc"},s("marker")),textfont:a.textfont,textposition:a.textposition,selected:a.selected,unselected:a.unselected,hoverinfo:c({},o.hoverinfo,{flags:["a","b","c","text","name"]}),hoveron:a.hoveron,hovertemplate:n()}},{"../../components/colorscale/attributes":650,"../../components/drawing/attributes":664,"../../lib/extend":768,"../../plots/attributes":824,"../../plots/template_attributes":906,"../scatter/attributes":1187}],1276:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../scatter/colorscale_calc"),a=t("../scatter/arrays_to_calcdata"),o=t("../scatter/calc_selection"),s=t("../scatter/calc").calcMarkerSize,l=["a","b","c"],c={a:["b","c"],b:["a","c"],c:["a","b"]};e.exports=function(t,e){var r,u,f,h,p,d,g=t._fullLayout[e.subplot].sum,m=e.sum||g,v={a:e.a,b:e.b,c:e.c};for(r=0;r"),o.hovertemplate=h.hovertemplate,a}function x(t,e){v.push(t._hovertitle+": "+e)}}},{"../scatter/hover":1198}],1281:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../scatter/marker_colorbar"),formatLabels:t("./format_labels"),calc:t("./calc"),plot:t("./plot"),style:t("../scatter/style").style,styleOnSelect:t("../scatter/style").styleOnSelect,hoverPoints:t("./hover"),selectPoints:t("../scatter/select"),eventData:t("./event_data"),moduleType:"trace",name:"scatterternary",basePlotModule:t("../../plots/ternary"),categories:["ternary","symbols","showLegend","scatter-like"],meta:{}}},{"../../plots/ternary":907,"../scatter/marker_colorbar":1205,"../scatter/select":1209,"../scatter/style":1211,"./attributes":1275,"./calc":1276,"./defaults":1277,"./event_data":1278,"./format_labels":1279,"./hover":1280,"./plot":1282}],1282:[function(t,e,r){"use strict";var n=t("../scatter/plot");e.exports=function(t,e,r){var i=e.plotContainer;i.select(".scatterlayer").selectAll("*").remove();var a={xaxis:e.xaxis,yaxis:e.yaxis,plot:i,layerClipId:e._hasClipOnAxisFalse?e.clipIdRelative:null},o=e.layers.frontplot.select("g.scatterlayer");n(t,a,r,o)}},{"../scatter/plot":1208}],1283:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../../components/colorscale/attributes"),a=t("../../plots/template_attributes").hovertemplateAttrs,o=t("../scattergl/attributes"),s=t("../../plots/cartesian/constants").idRegex,l=t("../../plot_api/plot_template").templatedArray,c=t("../../lib/extend").extendFlat,u=n.marker,f=u.line,h=c(i("marker.line",{editTypeOverride:"calc"}),{width:c({},f.width,{editType:"calc"}),editType:"calc"}),p=c(i("marker"),{symbol:u.symbol,size:c({},u.size,{editType:"markerSize"}),sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,opacity:u.opacity,colorbar:u.colorbar,line:h,editType:"calc"});function d(t){return{valType:"info_array",freeLength:!0,editType:"calc",items:{valType:"subplotid",regex:s[t],editType:"plot"}}}p.color.editType=p.cmin.editType=p.cmax.editType="style",e.exports={dimensions:l("dimension",{visible:{valType:"boolean",dflt:!0,editType:"calc"},label:{valType:"string",editType:"calc"},values:{valType:"data_array",editType:"calc+clearAxisTypes"},axis:{type:{valType:"enumerated",values:["linear","log","date","category"],editType:"calc+clearAxisTypes"},matches:{valType:"boolean",dflt:!1,editType:"calc"},editType:"calc+clearAxisTypes"},editType:"calc+clearAxisTypes"}),text:c({},o.text,{}),hovertext:c({},o.hovertext,{}),hovertemplate:a(),marker:p,xaxes:d("x"),yaxes:d("y"),diagonal:{visible:{valType:"boolean",dflt:!0,editType:"calc"},editType:"calc"},showupperhalf:{valType:"boolean",dflt:!0,editType:"calc"},showlowerhalf:{valType:"boolean",dflt:!0,editType:"calc"},selected:{marker:o.selected.marker,editType:"calc"},unselected:{marker:o.unselected.marker,editType:"calc"},opacity:o.opacity}},{"../../components/colorscale/attributes":650,"../../lib/extend":768,"../../plot_api/plot_template":817,"../../plots/cartesian/constants":834,"../../plots/template_attributes":906,"../scatter/attributes":1187,"../scattergl/attributes":1239}],1284:[function(t,e,r){"use strict";var n=t("regl-line2d"),i=t("../../registry"),a=t("../../lib/prepare_regl"),o=t("../../plots/get_data").getModuleCalcData,s=t("../../plots/cartesian"),l=t("../../plots/cartesian/axis_ids").getFromId,c=t("../../plots/cartesian/axes").shouldShowZeroLine;function u(t,e,r){for(var n=r.matrixOptions.data.length,i=e._visibleDims,a=r.viewOpts.ranges=new Array(n),o=0;oh?2*(b.sizeAvg||Math.max(b.size,3)):a(e,x),p=0;pa&&l||i-1,A=!0;if(o(x)||!!p.selectedpoints||M){var S=p._length;if(p.selectedpoints){g.selectBatch=p.selectedpoints;var E=p.selectedpoints,C={};for(l=0;l1&&(u=g[y-1],h=m[y-1],d=v[y-1]),e=0;eu?"-":"+")+"x")).replace("y",(f>h?"-":"+")+"y")).replace("z",(p>d?"-":"+")+"z");var C=function(){y=0,A=[],S=[],E=[]};(!y||y2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,u=e._len,f={};function d(t,e){var n=r[e],o=i[c[e]];return a.simpleMap(t,(function(t){return n.d2l(t)*o}))}if(f.vectors=l(d(e._u,"xaxis"),d(e._v,"yaxis"),d(e._w,"zaxis"),u),!u)return{positions:[],cells:[]};var g=d(e._Xs,"xaxis"),m=d(e._Ys,"yaxis"),v=d(e._Zs,"zaxis");if(f.meshgrid=[g,m,v],f.gridFill=e._gridFill,e._slen)f.startingPositions=l(d(e._startsX,"xaxis"),d(e._startsY,"yaxis"),d(e._startsZ,"zaxis"));else{for(var y=m[0],x=h(g),b=h(v),_=new Array(x.length*b.length),w=0,T=0;T=0};v?(r=Math.min(m.length,x.length),l=function(t){return M(m[t])&&A(t)},f=function(t){return String(m[t])}):(r=Math.min(y.length,x.length),l=function(t){return M(y[t])&&A(t)},f=function(t){return String(y[t])}),_&&(r=Math.min(r,b.length));for(var S=0;S1){for(var I=a.randstr(),P=0;P"),name:k||z("name")?l.name:void 0,color:T("hoverlabel.bgcolor")||y.color,borderColor:T("hoverlabel.bordercolor"),fontFamily:T("hoverlabel.font.family"),fontSize:T("hoverlabel.font.size"),fontColor:T("hoverlabel.font.color"),nameLength:T("hoverlabel.namelength"),textAlign:T("hoverlabel.align"),hovertemplate:k,hovertemplateLabels:L,eventData:[f(i,l,h.eventDataKeys)]};m&&(R.x0=S-i.rInscribed*i.rpx1,R.x1=S+i.rInscribed*i.rpx1,R.idealAlign=i.pxmid[0]<0?"left":"right"),v&&(R.x=S,R.idealAlign=S<0?"left":"right"),o.loneHover(R,{container:a._hoverlayer.node(),outerContainer:a._paper.node(),gd:r}),d._hasHoverLabel=!0}if(v){var F=t.select("path.surface");h.styleOne(F,i,l,{hovered:!0})}d._hasHoverEvent=!0,r.emit("plotly_hover",{points:[f(i,l,h.eventDataKeys)],event:n.event})}})),t.on("mouseout",(function(e){var i=r._fullLayout,a=r._fullData[d.index],s=n.select(this).datum();if(d._hasHoverEvent&&(e.originalEvent=n.event,r.emit("plotly_unhover",{points:[f(s,a,h.eventDataKeys)],event:n.event}),d._hasHoverEvent=!1),d._hasHoverLabel&&(o.loneUnhover(i._hoverlayer.node()),d._hasHoverLabel=!1),v){var l=t.select("path.surface");h.styleOne(l,s,a,{hovered:!1})}})),t.on("click",(function(t){var e=r._fullLayout,a=r._fullData[d.index],s=m&&(c.isHierarchyRoot(t)||c.isLeaf(t)),u=c.getPtId(t),p=c.isEntry(t)?c.findEntryWithChild(g,u):c.findEntryWithLevel(g,u),v=c.getPtId(p),y={points:[f(t,a,h.eventDataKeys)],event:n.event};s||(y.nextLevel=v);var x=l.triggerHandler(r,"plotly_"+d.type+"click",y);if(!1!==x&&e.hovermode&&(r._hoverdata=[f(t,a,h.eventDataKeys)],o.click(r,n.event)),!s&&!1!==x&&!r._dragging&&!r._transitioning){i.call("_storeDirectGUIEdit",a,e._tracePreGUI[a.uid],{level:a.level});var b={data:[{level:v}],traces:[d.index]},_={frame:{redraw:!1,duration:h.transitionTime},transition:{duration:h.transitionTime,easing:h.transitionEasing},mode:"immediate",fromcurrent:!0};o.loneUnhover(e._hoverlayer.node()),i.call("animate",r,b,_)}}))}},{"../../components/fx":683,"../../components/fx/helpers":679,"../../lib":778,"../../lib/events":767,"../../registry":911,"../pie/helpers":1166,"./helpers":1305,d3:169}],1305:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/color"),a=t("../../lib/setcursor"),o=t("../pie/helpers");function s(t){return t.data.data.pid}r.findEntryWithLevel=function(t,e){var n;return e&&t.eachAfter((function(t){if(r.getPtId(t)===e)return n=t.copy()})),n||t},r.findEntryWithChild=function(t,e){var n;return t.eachAfter((function(t){for(var i=t.children||[],a=0;a0)},r.getMaxDepth=function(t){return t.maxdepth>=0?t.maxdepth:1/0},r.isHeader=function(t,e){return!(r.isLeaf(t)||t.depth===e._maxDepth-1)},r.getParent=function(t,e){return r.findEntryWithLevel(t,s(e))},r.listPath=function(t,e){var n=t.parent;if(!n)return[];var i=e?[n.data[e]]:[n];return r.listPath(n,e).concat(i)},r.getPath=function(t){return r.listPath(t,"label").join("/")+"/"},r.formatValue=o.formatPieValue,r.formatPercent=function(t,e){var r=n.formatPercent(t,0);return"0%"===r&&(r=o.formatPiePercent(t,e)),r}},{"../../components/color":643,"../../lib":778,"../../lib/setcursor":799,"../pie/helpers":1166}],1306:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"sunburst",basePlotModule:t("./base_plot"),categories:[],animatable:!0,attributes:t("./attributes"),layoutAttributes:t("./layout_attributes"),supplyDefaults:t("./defaults"),supplyLayoutDefaults:t("./layout_defaults"),calc:t("./calc").calc,crossTraceCalc:t("./calc").crossTraceCalc,plot:t("./plot").plot,style:t("./style").style,colorbar:t("../scatter/marker_colorbar"),meta:{}}},{"../scatter/marker_colorbar":1205,"./attributes":1299,"./base_plot":1300,"./calc":1301,"./defaults":1303,"./layout_attributes":1307,"./layout_defaults":1308,"./plot":1309,"./style":1310}],1307:[function(t,e,r){"use strict";e.exports={sunburstcolorway:{valType:"colorlist",editType:"calc"},extendsunburstcolors:{valType:"boolean",dflt:!0,editType:"calc"}}},{}],1308:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r("sunburstcolorway",e.colorway),r("extendsunburstcolors")}},{"../../lib":778,"./layout_attributes":1307}],1309:[function(t,e,r){"use strict";var n=t("d3"),i=t("d3-hierarchy"),a=t("../../components/drawing"),o=t("../../lib"),s=t("../../lib/svg_text_utils"),l=t("../bar/uniform_text"),c=l.recordMinTextSize,u=l.clearMinTextSize,f=t("../pie/plot"),h=t("../pie/helpers").getRotationAngle,p=f.computeTransform,d=f.transformInsideText,g=t("./style").styleOne,m=t("../bar/style").resizeText,v=t("./fx"),y=t("./constants"),x=t("./helpers");function b(t,e,l,u){var f=t._fullLayout,m=!f.uniformtext.mode&&x.hasTransition(u),b=n.select(l).selectAll("g.slice"),w=e[0],T=w.trace,k=w.hierarchy,M=x.findEntryWithLevel(k,T.level),A=x.getMaxDepth(T),S=f._size,E=T.domain,C=S.w*(E.x[1]-E.x[0]),L=S.h*(E.y[1]-E.y[0]),I=.5*Math.min(C,L),P=w.cx=S.l+S.w*(E.x[1]+E.x[0])/2,z=w.cy=S.t+S.h*(1-E.y[0])-L/2;if(!M)return b.remove();var O=null,D={};m&&b.each((function(t){D[x.getPtId(t)]={rpx0:t.rpx0,rpx1:t.rpx1,x0:t.x0,x1:t.x1,transform:t.transform},!O&&x.isEntry(t)&&(O=t)}));var R=function(t){return i.partition().size([2*Math.PI,t.height+1])(t)}(M).descendants(),F=M.height+1,B=0,N=A;w.hasMultipleRoots&&x.isHierarchyRoot(M)&&(R=R.slice(1),F-=1,B=1,N+=1),R=R.filter((function(t){return t.y1<=N}));var j=h(T.rotation);j&&R.forEach((function(t){t.x0+=j,t.x1+=j}));var U=Math.min(F,A),V=function(t){return(t-B)/U*I},q=function(t,e){return[t*Math.cos(e),-t*Math.sin(e)]},H=function(t){return o.pathAnnulus(t.rpx0,t.rpx1,t.x0,t.x1,P,z)},G=function(t){return P+_(t)[0]*(t.transform.rCenter||0)+(t.transform.x||0)},Y=function(t){return z+_(t)[1]*(t.transform.rCenter||0)+(t.transform.y||0)};(b=b.data(R,x.getPtId)).enter().append("g").classed("slice",!0),m?b.exit().transition().each((function(){var t=n.select(this);t.select("path.surface").transition().attrTween("d",(function(t){var e=function(t){var e,r=x.getPtId(t),i=D[r],a=D[x.getPtId(M)];if(a){var o=(t.x1>a.x1?2*Math.PI:0)+j;e=t.rpx1W?2*Math.PI:0)+j;e={x0:a,x1:a}}else e={rpx0:I,rpx1:I},o.extendFlat(e,J(t));else e={rpx0:0,rpx1:0};else e={x0:j,x1:j};return n.interpolate(e,i)}(t);return function(t){return H(e(t))}})):u.attr("d",H),l.call(v,M,t,e,{eventDataKeys:y.eventDataKeys,transitionTime:y.CLICK_TRANSITION_TIME,transitionEasing:y.CLICK_TRANSITION_EASING}).call(x.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),u.call(g,i,T);var h=o.ensureSingle(l,"g","slicetext"),b=o.ensureSingle(h,"text","",(function(t){t.attr("data-notex",1)})),_=o.ensureUniformFontSize(t,x.determineTextFont(T,i,f.font));b.text(r.formatSliceLabel(i,M,T,e,f)).classed("slicetext",!0).attr("text-anchor","middle").call(a.font,_).call(s.convertToTspans,t);var k=a.bBox(b.node());i.transform=d(k,i,w),i.transform.targetX=G(i),i.transform.targetY=Y(i);var A=function(t,e){var r=t.transform;return p(r,e),r.fontSize=_.size,c(T.type,r,f),o.getTextTransform(r)};m?b.transition().attrTween("transform",(function(t){var e=function(t){var e,r=D[x.getPtId(t)],i=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:i.textPosAngle,scale:0,rotate:i.rotate,rCenter:i.rCenter,x:i.x,y:i.y}},O)if(t.parent)if(W){var a=t.x1>W?2*Math.PI:0;e.x0=e.x1=a}else o.extendFlat(e,J(t));else e.x0=e.x1=j;else e.x0=e.x1=j;var s=n.interpolate(e.transform.textPosAngle,t.transform.textPosAngle),l=n.interpolate(e.rpx1,t.rpx1),u=n.interpolate(e.x0,t.x0),h=n.interpolate(e.x1,t.x1),p=n.interpolate(e.transform.scale,i.scale),d=n.interpolate(e.transform.rotate,i.rotate),g=0===i.rCenter?3:0===e.transform.rCenter?1/3:1,m=n.interpolate(e.transform.rCenter,i.rCenter);return function(t){var e=l(t),r=u(t),n=h(t),a=function(t){return m(Math.pow(t,g))}(t),o={pxmid:q(e,(r+n)/2),rpx1:e,transform:{textPosAngle:s(t),rCenter:a,x:i.x,y:i.y}};return c(T.type,i,f),{transform:{targetX:G(o),targetY:Y(o),scale:p(t),rotate:d(t),rCenter:a}}}}(t);return function(t){return A(e(t),k)}})):b.attr("transform",A(i,k))}))}function _(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}r.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,c=!r,f=!s.uniformtext.mode&&x.hasTransition(r);(u("sunburst",s),(a=l.selectAll("g.trace.sunburst").data(e,(function(t){return t[0].trace.uid}))).enter().append("g").classed("trace",!0).classed("sunburst",!0).attr("stroke-linejoin","round"),a.order(),f)?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each("end",(function(){o&&o()})).each("interrupt",(function(){o&&o()})).each((function(){l.selectAll("g.trace").each((function(e){b(t,e,this,r)}))}))):(a.each((function(e){b(t,e,this,r)})),s.uniformtext.mode&&m(t,s._sunburstlayer.selectAll(".trace"),"sunburst"));c&&a.exit().remove()},r.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,s=r.textinfo;if(!(a||s&&"none"!==s))return"";var l=i.separators,c=n[0],u=t.data.data,f=c.hierarchy,h=x.isHierarchyRoot(t),p=x.getParent(f,t),d=x.getValue(t);if(!a){var g,m=s.split("+"),v=function(t){return-1!==m.indexOf(t)},y=[];if(v("label")&&u.label&&y.push(u.label),u.hasOwnProperty("v")&&v("value")&&y.push(x.formatValue(u.v,l)),!h){v("current path")&&y.push(x.getPath(t.data));var b=0;v("percent parent")&&b++,v("percent entry")&&b++,v("percent root")&&b++;var _=b>1;if(b){var w,T=function(t){g=x.formatPercent(w,l),_&&(g+=" of "+t),y.push(g)};v("percent parent")&&!h&&(w=d/x.getValue(p),T("parent")),v("percent entry")&&(w=d/x.getValue(e),T("entry")),v("percent root")&&(w=d/x.getValue(f),T("root"))}}return v("text")&&(g=o.castOption(r,u.i,"text"),o.isValidTextValue(g)&&y.push(g)),y.join("
")}var k=o.castOption(r,u.i,"texttemplate");if(!k)return"";var M={};u.label&&(M.label=u.label),u.hasOwnProperty("v")&&(M.value=u.v,M.valueLabel=x.formatValue(u.v,l)),M.currentPath=x.getPath(t.data),h||(M.percentParent=d/x.getValue(p),M.percentParentLabel=x.formatPercent(M.percentParent,l),M.parent=x.getPtLabel(p)),M.percentEntry=d/x.getValue(e),M.percentEntryLabel=x.formatPercent(M.percentEntry,l),M.entry=x.getPtLabel(e),M.percentRoot=d/x.getValue(f),M.percentRootLabel=x.formatPercent(M.percentRoot,l),M.root=x.getPtLabel(f),u.hasOwnProperty("color")&&(M.color=u.color);var A=o.castOption(r,u.i,"text");return(o.isValidTextValue(A)||""===A)&&(M.text=A),M.customdata=o.castOption(r,u.i,"customdata"),o.texttemplateString(k,M,i._d3locale,M,r._meta||{})}},{"../../components/drawing":665,"../../lib":778,"../../lib/svg_text_utils":803,"../bar/style":935,"../bar/uniform_text":937,"../pie/helpers":1166,"../pie/plot":1170,"./constants":1302,"./fx":1304,"./helpers":1305,"./style":1310,d3:169,"d3-hierarchy":161}],1310:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../components/color"),a=t("../../lib"),o=t("../bar/uniform_text").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,"marker.line.color")||i.defaultLine,c=a.castOption(r,s,"marker.line.width")||0;t.style("stroke-width",c).call(i.fill,n.color).call(i.stroke,l).style("opacity",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(".trace");o(t,e,"sunburst"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style("opacity",r.opacity),e.selectAll("path.surface").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{"../../components/color":643,"../../lib":778,"../bar/uniform_text":937,d3:169}],1311:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("../../components/colorscale/attributes"),a=t("../../plots/template_attributes").hovertemplateAttrs,o=t("../../plots/attributes"),s=t("../../lib/extend").extendFlat,l=t("../../plot_api/edit_types").overrideAll;function c(t){return{show:{valType:"boolean",dflt:!1},start:{valType:"number",dflt:null,editType:"plot"},end:{valType:"number",dflt:null,editType:"plot"},size:{valType:"number",dflt:null,min:0,editType:"plot"},project:{x:{valType:"boolean",dflt:!1},y:{valType:"boolean",dflt:!1},z:{valType:"boolean",dflt:!1}},color:{valType:"color",dflt:n.defaultLine},usecolormap:{valType:"boolean",dflt:!1},width:{valType:"number",min:1,max:16,dflt:2},highlight:{valType:"boolean",dflt:!0},highlightcolor:{valType:"color",dflt:n.defaultLine},highlightwidth:{valType:"number",min:1,max:16,dflt:2}}}var u=e.exports=l(s({z:{valType:"data_array"},x:{valType:"data_array"},y:{valType:"data_array"},text:{valType:"string",dflt:"",arrayOk:!0},hovertext:{valType:"string",dflt:"",arrayOk:!0},hovertemplate:a(),connectgaps:{valType:"boolean",dflt:!1,editType:"calc"},surfacecolor:{valType:"data_array"}},i("",{colorAttr:"z or surfacecolor",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:"calc"}),{contours:{x:c(),y:c(),z:c()},hidesurface:{valType:"boolean",dflt:!1},lightposition:{x:{valType:"number",min:-1e5,max:1e5,dflt:10},y:{valType:"number",min:-1e5,max:1e5,dflt:1e4},z:{valType:"number",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:"number",min:0,max:1,dflt:.8},diffuse:{valType:"number",min:0,max:1,dflt:.8},specular:{valType:"number",min:0,max:2,dflt:.05},roughness:{valType:"number",min:0,max:1,dflt:.5},fresnel:{valType:"number",min:0,max:5,dflt:.2}},opacity:{valType:"number",min:0,max:1,dflt:1},opacityscale:{valType:"any",editType:"calc"},_deprecated:{zauto:s({},i.zauto,{}),zmin:s({},i.zmin,{}),zmax:s({},i.zmax,{})},hoverinfo:s({},o.hoverinfo),showlegend:s({},o.showlegend,{dflt:!1})}),"calc","nested");u.x.editType=u.y.editType=u.z.editType="calc+clearAxisTypes",u.transforms=void 0},{"../../components/color":643,"../../components/colorscale/attributes":650,"../../lib/extend":768,"../../plot_api/edit_types":810,"../../plots/attributes":824,"../../plots/template_attributes":906}],1312:[function(t,e,r){"use strict";var n=t("../../components/colorscale/calc");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:"",cLetter:"c"}):n(t,e,{vals:e.z,containerStr:"",cLetter:"c"})}},{"../../components/colorscale/calc":651}],1313:[function(t,e,r){"use strict";var n=t("gl-surface3d"),i=t("ndarray"),a=t("ndarray-linear-interpolate").d2,o=t("../heatmap/interp2d"),s=t("../heatmap/find_empties"),l=t("../../lib").isArrayOrTypedArray,c=t("../../lib/gl_format_color").parseColorScale,u=t("../../lib/str2rgbarray"),f=t("../../components/colorscale").extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||"",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function g(t,e){if(t0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=m(t),n=m(e),i=1,a=0;a_;)r--,r/=v(r),++r1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];ea&&(this.minValues[e]=a),this.maxValues[e]",maxDimensionCount:60,overdrag:45,releaseTransitionDuration:120,releaseTransitionEase:"cubic-out",scrollbarCaptureWidth:18,scrollbarHideDelay:1e3,scrollbarHideDuration:1e3,scrollbarOffset:5,scrollbarWidth:8,transitionDuration:100,transitionEase:"cubic-out",uplift:5,wrapSpacer:" ",wrapSplitCharacter:" ",cn:{table:"table",tableControlView:"table-control-view",scrollBackground:"scroll-background",yColumn:"y-column",columnBlock:"column-block",scrollAreaClip:"scroll-area-clip",scrollAreaClipRect:"scroll-area-clip-rect",columnBoundary:"column-boundary",columnBoundaryClippath:"column-boundary-clippath",columnBoundaryRect:"column-boundary-rect",columnCells:"column-cells",columnCell:"column-cell",cellRect:"cell-rect",cellText:"cell-text",cellTextHolder:"cell-text-holder",scrollbarKit:"scrollbar-kit",scrollbar:"scrollbar",scrollbarSlider:"scrollbar-slider",scrollbarGlyph:"scrollbar-glyph",scrollbarCaptureZone:"scrollbar-capture-zone"}}},{}],1320:[function(t,e,r){"use strict";var n=t("./constants"),i=t("../../lib/extend").extendFlat,a=t("fast-isnumeric");function o(t){if(Array.isArray(t)){for(var e=0,r=0;r=e||c===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=c,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=c+1,a=0);return n}e.exports=function(t,e){var r=l(e.cells.values),p=function(t){return t.slice(e.header.values.length,t.length)},d=l(e.header.values);d.length&&!d[0].length&&(d[0]=[""],d=l(d));var g=d.concat(p(r).map((function(){return c((d[0]||[""]).length)}))),m=e.domain,v=Math.floor(t._fullLayout._size.w*(m.x[1]-m.x[0])),y=Math.floor(t._fullLayout._size.h*(m.y[1]-m.y[0])),x=e.header.values.length?g[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],b=r.length?r[0].map((function(){return e.cells.height})):[],_=x.reduce(s,0),w=h(b,y-_+n.uplift),T=f(h(x,_),[]),k=f(w,T),M={},A=e._fullInput.columnorder.concat(p(r.map((function(t,e){return e})))),S=g.map((function(t,r){var n=Array.isArray(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),E=S.reduce(s,0);S=S.map((function(t){return t/E*v}));var C=Math.max(o(e.header.line.width),o(e.cells.line.width)),L={key:e.uid+t._context.staticPlot,translateX:m.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-m.y[1]),size:t._fullLayout._size,width:v,maxLineWidth:C,height:y,columnOrder:A,groupHeight:y,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map((function(t,e){var r=M[t];return M[t]=(r||0)+1,{key:t+"__"+M[t],label:t,specIndex:e,xIndex:A[e],xScale:u,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return L.columns.forEach((function(t){t.calcdata=L,t.x=u(t)})),L}},{"../../lib/extend":768,"./constants":1319,"fast-isnumeric":241}],1321:[function(t,e,r){"use strict";var n=t("../../lib/extend").extendFlat;r.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:"header",type:"header",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:"cells1",type:"cells",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:"cells2",type:"cells",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},r.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0,n=e?r+e.rows.length:0;return[r,n]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+("string"==typeof r&&r.match(/[<$&> ]/)?"_keybuster_"+Math.random():""),key:e[0]+n,column:t,calcdata:t.calcdata,page:t.page,rowBlocks:t.rowBlocks,value:r}}))}},{"../../lib/extend":768}],1322:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("../../plots/domain").defaults;e.exports=function(t,e,r,o){function s(r,a){return n.coerce(t,e,i,r,a)}a(e,o,s),s("columnwidth"),s("header.values"),s("header.format"),s("header.align"),s("header.prefix"),s("header.suffix"),s("header.height"),s("header.line.width"),s("header.line.color"),s("header.fill.color"),n.coerceFont(s,"header.font",n.extendFlat({},o.font)),function(t,e){for(var r=t.columnorder||[],n=t.header.values.length,i=r.slice(0,n),a=i.slice().sort((function(t,e){return t-e})),o=i.map((function(t){return a.indexOf(t)})),s=o.length;s/i),l=!o||s;t.mayHaveMarkup=o&&a.match(/[<&>]/);var c,u="string"==typeof(c=a)&&c.match(n.latexCheck);t.latex=u;var f,h,p=u?"":w(t.calcdata.cells.prefix,e,r)||"",d=u?"":w(t.calcdata.cells.suffix,e,r)||"",g=u?null:w(t.calcdata.cells.format,e,r)||null,m=p+(g?i.format(g)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!u&&(f=_(m)),t.cellHeightMayIncrease=s||u||t.mayHaveMarkup||(void 0===f?_(m):f),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var v=(" "===n.wrapSplitCharacter?m.replace(/
i&&n.push(a),i+=l}return n}(i,l,s);1===u.length&&(u[0]===i.length-1?u.unshift(u[0]-1):u.push(u[0]+1)),u[0]%2&&u.reverse(),e.each((function(t,e){t.page=u[e],t.scrollY=l})),e.attr("transform",(function(t){var e=O(t.rowBlocks,t.page)-t.scrollY;return c(0,e)})),t&&(C(t,r,e,u,n.prevPages,n,0),C(t,r,e,u,n.prevPages,n,1),y(r,t))}}function E(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),c=r||s.scrollbarState.dragMultiplier,u=s.scrollY;s.scrollY=void 0===a?s.scrollY+c*i.event.dy:a;var f=l.selectAll("."+n.cn.yColumn).selectAll("."+n.cn.columnBlock).filter(k);return S(t,f,l),s.scrollY===u}}function C(t,e,r,n,i,a,o){n[o]!==i[o]&&(clearTimeout(a.currentRepaint[o]),a.currentRepaint[o]=setTimeout((function(){var a=r.filter((function(t,e){return e===o&&n[e]!==i[e]}));x(t,e,a,r),i[o]=n[o]})))}function L(t,e,r,a){return function(){var o=i.select(e.parentNode);o.each((function(t){var e=t.fragments;o.selectAll("tspan.line").each((function(t,r){e[r].width=this.getComputedTextLength()}));var r,i,a=e[e.length-1].width,s=e.slice(0,-1),l=[],c=0,u=t.column.columnWidth-2*n.cellPad;for(t.value="";s.length;)c+(i=(r=s.shift()).width+a)>u&&(t.value+=l.join(n.wrapSpacer)+n.lineBreaker,l=[],c=0),l.push(r.text),c+=i;c&&(t.value+=l.join(n.wrapSpacer)),t.wrapped=!0})),o.selectAll("tspan.line").remove(),b(o.select("."+n.cn.cellText),r,t,a),i.select(e.parentNode.parentNode).call(z)}}function I(t,e,r,a,o){return function(){if(!o.settledY){var s=i.select(e.parentNode),l=F(o),u=o.key-l.firstRowIndex,f=l.rows[u].rowHeight,h=o.cellHeightMayIncrease?e.parentNode.getBoundingClientRect().height+2*n.cellPad:f,p=Math.max(h,f);p-l.rows[u].rowHeight&&(l.rows[u].rowHeight=p,t.selectAll("."+n.cn.columnCell).call(z),S(null,t.filter(k),0),y(r,a,!0)),s.attr("transform",(function(){var t=this.parentNode.getBoundingClientRect(),e=i.select(this.parentNode).select("."+n.cn.cellRect).node().getBoundingClientRect(),r=this.transform.baseVal.consolidate(),a=e.top-t.top+(r?r.matrix.f:n.cellPad);return c(P(o,i.select(this.parentNode).select("."+n.cn.cellTextHolder).node().getBoundingClientRect().width),a)})),o.settledY=!0}}}function P(t,e){switch(t.align){case"left":return n.cellPad;case"right":return t.column.columnWidth-(e||0)-n.cellPad;case"center":return(t.column.columnWidth-(e||0))/2;default:return n.cellPad}}function z(t){t.attr("transform",(function(t){var e=t.rowBlocks[0].auxiliaryBlocks.reduce((function(t,e){return t+D(e,1/0)}),0),r=D(F(t),t.key);return c(0,r+e)})).selectAll("."+n.cn.cellRect).attr("height",(function(t){return(e=F(t),r=t.key,e.rows[r-e.firstRowIndex]).rowHeight;var e,r}))}function O(t,e){for(var r=0,n=e-1;n>=0;n--)r+=R(t[n]);return r}function D(t,e){for(var r=0,n=0;n","<","|","/","\\"],dflt:">",editType:"plot"},thickness:{valType:"number",min:12,editType:"plot"},textfont:u({},s.textfont,{}),editType:"calc"},text:s.text,textinfo:l.textinfo,texttemplate:i({editType:"plot"},{keys:c.eventDataKeys.concat(["label","value"])}),hovertext:s.hovertext,hoverinfo:l.hoverinfo,hovertemplate:n({},{keys:c.eventDataKeys}),textfont:s.textfont,insidetextfont:s.insidetextfont,outsidetextfont:u({},s.outsidetextfont,{}),textposition:{valType:"enumerated",values:["top left","top center","top right","middle left","middle center","middle right","bottom left","bottom center","bottom right"],dflt:"top left",editType:"plot"},sort:s.sort,root:l.root,domain:o({name:"treemap",trace:!0,editType:"calc"})}},{"../../components/colorscale/attributes":650,"../../lib/extend":768,"../../plots/domain":855,"../../plots/template_attributes":906,"../pie/attributes":1161,"../sunburst/attributes":1299,"./constants":1328}],1326:[function(t,e,r){"use strict";var n=t("../../plots/plots");r.name="treemap",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{"../../plots/plots":891}],1327:[function(t,e,r){"use strict";var n=t("../sunburst/calc");r.calc=function(t,e){return n.calc(t,e)},r.crossTraceCalc=function(t){return n._runCrossTraceCalc("treemap",t)}},{"../sunburst/calc":1301}],1328:[function(t,e,r){"use strict";e.exports={CLICK_TRANSITION_TIME:750,CLICK_TRANSITION_EASING:"poly",eventDataKeys:["currentPath","root","entry","percentRoot","percentEntry","percentParent"],gapWithPathbar:1}},{}],1329:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("../../components/color"),o=t("../../plots/domain").defaults,s=t("../bar/defaults").handleText,l=t("../bar/constants").TEXTPAD,c=t("../../components/colorscale"),u=c.hasColorscale,f=c.handleDefaults;e.exports=function(t,e,r,c){function h(r,a){return n.coerce(t,e,i,r,a)}var p=h("labels"),d=h("parents");if(p&&p.length&&d&&d.length){var g=h("values");g&&g.length?h("branchvalues"):h("count"),h("level"),h("maxdepth"),"squarify"===h("tiling.packing")&&h("tiling.squarifyratio"),h("tiling.flip"),h("tiling.pad");var m=h("text");h("texttemplate"),e.texttemplate||h("textinfo",Array.isArray(m)?"text+label":"label"),h("hovertext"),h("hovertemplate");var v=h("pathbar.visible");s(t,e,c,h,"auto",{hasPathbar:v,moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),h("textposition");var y=-1!==e.textposition.indexOf("bottom");h("marker.line.width")&&h("marker.line.color",c.paper_bgcolor);var x=h("marker.colors"),b=e._hasColorscale=u(t,"marker","colors")||(t.marker||{}).coloraxis;b?f(t,e,c,h,{prefix:"marker.",cLetter:"c"}):h("marker.depthfade",!(x||[]).length);var _=2*e.textfont.size;h("marker.pad.t",y?_/4:_),h("marker.pad.l",_/4),h("marker.pad.r",_/4),h("marker.pad.b",y?_:_/4),b&&f(t,e,c,h,{prefix:"marker.",cLetter:"c"}),e._hovered={marker:{line:{width:2,color:a.contrast(c.paper_bgcolor)}}},v&&(h("pathbar.thickness",e.pathbar.textfont.size+2*l),h("pathbar.side"),h("pathbar.edgeshape")),h("sort"),h("root.color"),o(e,c,h),e._length=null}else e.visible=!1}},{"../../components/color":643,"../../components/colorscale":655,"../../lib":778,"../../plots/domain":855,"../bar/constants":923,"../bar/defaults":925,"./attributes":1325}],1330:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../lib"),a=t("../../components/drawing"),o=t("../../lib/svg_text_utils"),s=t("./partition"),l=t("./style").styleOne,c=t("./constants"),u=t("../sunburst/helpers"),f=t("../sunburst/fx");e.exports=function(t,e,r,h,p){var d=p.barDifY,g=p.width,m=p.height,v=p.viewX,y=p.viewY,x=p.pathSlice,b=p.toMoveInsideSlice,_=p.strTransform,w=p.hasTransition,T=p.handleSlicesExit,k=p.makeUpdateSliceInterpolator,M=p.makeUpdateTextInterpolator,A={},S=t._fullLayout,E=e[0],C=E.trace,L=E.hierarchy,I=g/C._entryDepth,P=u.listPath(r.data,"id"),z=s(L.copy(),[g,m],{packing:"dice",pad:{inner:0,top:0,left:0,right:0,bottom:0}}).descendants();(z=z.filter((function(t){var e=P.indexOf(t.data.id);return-1!==e&&(t.x0=I*e,t.x1=I*(e+1),t.y0=d,t.y1=d+m,t.onPathbar=!0,!0)}))).reverse(),(h=h.data(z,u.getPtId)).enter().append("g").classed("pathbar",!0),T(h,!0,A,[g,m],x),h.order();var O=h;w&&(O=O.transition().each("end",(function(){var e=n.select(this);u.setSliceCursor(e,t,{hideOnRoot:!1,hideOnLeaves:!1,isTransitioning:!1})}))),O.each((function(s){s._hoverX=v(s.x1-Math.min(g,m)/2),s._hoverY=y(s.y1-m/2);var h=n.select(this),p=i.ensureSingle(h,"path","surface",(function(t){t.style("pointer-events","all")}));w?p.transition().attrTween("d",(function(t){var e=k(t,!0,A,[g,m]);return function(t){return x(e(t))}})):p.attr("d",x),h.call(f,r,t,e,{styleOne:l,eventDataKeys:c.eventDataKeys,transitionTime:c.CLICK_TRANSITION_TIME,transitionEasing:c.CLICK_TRANSITION_EASING}).call(u.setSliceCursor,t,{hideOnRoot:!1,hideOnLeaves:!1,isTransitioning:t._transitioning}),p.call(l,s,C,{hovered:!1}),s._text=(u.getPtLabel(s)||"").split("
").join(" ")||"";var d=i.ensureSingle(h,"g","slicetext"),T=i.ensureSingle(d,"text","",(function(t){t.attr("data-notex",1)})),E=i.ensureUniformFontSize(t,u.determineTextFont(C,s,S.font,{onPathbar:!0}));T.text(s._text||" ").classed("slicetext",!0).attr("text-anchor","start").call(a.font,E).call(o.convertToTspans,t),s.textBB=a.bBox(T.node()),s.transform=b(s,{fontSize:E.size,onPathbar:!0}),s.transform.fontSize=E.size,w?T.transition().attrTween("transform",(function(t){var e=M(t,!0,A,[g,m]);return function(t){return _(e(t))}})):T.attr("transform",_(s))}))}},{"../../components/drawing":665,"../../lib":778,"../../lib/svg_text_utils":803,"../sunburst/fx":1304,"../sunburst/helpers":1305,"./constants":1328,"./partition":1335,"./style":1337,d3:169}],1331:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../lib"),a=t("../../components/drawing"),o=t("../../lib/svg_text_utils"),s=t("./partition"),l=t("./style").styleOne,c=t("./constants"),u=t("../sunburst/helpers"),f=t("../sunburst/fx"),h=t("../sunburst/plot").formatSliceLabel;e.exports=function(t,e,r,p,d){var g=d.width,m=d.height,v=d.viewX,y=d.viewY,x=d.pathSlice,b=d.toMoveInsideSlice,_=d.strTransform,w=d.hasTransition,T=d.handleSlicesExit,k=d.makeUpdateSliceInterpolator,M=d.makeUpdateTextInterpolator,A=d.prevEntry,S=t._fullLayout,E=e[0].trace,C=-1!==E.textposition.indexOf("left"),L=-1!==E.textposition.indexOf("right"),I=-1!==E.textposition.indexOf("bottom"),P=!I&&!E.marker.pad.t||I&&!E.marker.pad.b,z=s(r,[g,m],{packing:E.tiling.packing,squarifyratio:E.tiling.squarifyratio,flipX:E.tiling.flip.indexOf("x")>-1,flipY:E.tiling.flip.indexOf("y")>-1,pad:{inner:E.tiling.pad,top:E.marker.pad.t,left:E.marker.pad.l,right:E.marker.pad.r,bottom:E.marker.pad.b}}).descendants(),O=1/0,D=-1/0;z.forEach((function(t){var e=t.depth;e>=E._maxDepth?(t.x0=t.x1=(t.x0+t.x1)/2,t.y0=t.y1=(t.y0+t.y1)/2):(O=Math.min(O,e),D=Math.max(D,e))})),p=p.data(z,u.getPtId),E._maxVisibleLayers=isFinite(D)?D-O+1:0,p.enter().append("g").classed("slice",!0),T(p,!1,{},[g,m],x),p.order();var R=null;if(w&&A){var F=u.getPtId(A);p.each((function(t){null===R&&u.getPtId(t)===F&&(R={x0:t.x0,x1:t.x1,y0:t.y0,y1:t.y1})}))}var B=function(){return R||{x0:0,x1:g,y0:0,y1:m}},N=p;return w&&(N=N.transition().each("end",(function(){var e=n.select(this);u.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!1,isTransitioning:!1})}))),N.each((function(s){var p=u.isHeader(s,E);s._hoverX=v(s.x1-E.marker.pad.r),s._hoverY=y(I?s.y1-E.marker.pad.b/2:s.y0+E.marker.pad.t/2);var d=n.select(this),T=i.ensureSingle(d,"path","surface",(function(t){t.style("pointer-events","all")}));w?T.transition().attrTween("d",(function(t){var e=k(t,!1,B(),[g,m]);return function(t){return x(e(t))}})):T.attr("d",x),d.call(f,r,t,e,{styleOne:l,eventDataKeys:c.eventDataKeys,transitionTime:c.CLICK_TRANSITION_TIME,transitionEasing:c.CLICK_TRANSITION_EASING}).call(u.setSliceCursor,t,{isTransitioning:t._transitioning}),T.call(l,s,E,{hovered:!1}),s.x0===s.x1||s.y0===s.y1?s._text="":s._text=p?P?"":u.getPtLabel(s)||"":h(s,r,E,e,S)||"";var A=i.ensureSingle(d,"g","slicetext"),z=i.ensureSingle(A,"text","",(function(t){t.attr("data-notex",1)})),O=i.ensureUniformFontSize(t,u.determineTextFont(E,s,S.font));z.text(s._text||" ").classed("slicetext",!0).attr("text-anchor",L?"end":C||p?"start":"middle").call(a.font,O).call(o.convertToTspans,t),s.textBB=a.bBox(z.node()),s.transform=b(s,{fontSize:O.size,isHeader:p}),s.transform.fontSize=O.size,w?z.transition().attrTween("transform",(function(t){var e=M(t,!1,B(),[g,m]);return function(t){return _(e(t))}})):z.attr("transform",_(s))})),R}},{"../../components/drawing":665,"../../lib":778,"../../lib/svg_text_utils":803,"../sunburst/fx":1304,"../sunburst/helpers":1305,"../sunburst/plot":1309,"./constants":1328,"./partition":1335,"./style":1337,d3:169}],1332:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"treemap",basePlotModule:t("./base_plot"),categories:[],animatable:!0,attributes:t("./attributes"),layoutAttributes:t("./layout_attributes"),supplyDefaults:t("./defaults"),supplyLayoutDefaults:t("./layout_defaults"),calc:t("./calc").calc,crossTraceCalc:t("./calc").crossTraceCalc,plot:t("./plot"),style:t("./style").style,colorbar:t("../scatter/marker_colorbar"),meta:{}}},{"../scatter/marker_colorbar":1205,"./attributes":1325,"./base_plot":1326,"./calc":1327,"./defaults":1329,"./layout_attributes":1333,"./layout_defaults":1334,"./plot":1336,"./style":1337}],1333:[function(t,e,r){"use strict";e.exports={treemapcolorway:{valType:"colorlist",editType:"calc"},extendtreemapcolors:{valType:"boolean",dflt:!0,editType:"calc"}}},{}],1334:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r("treemapcolorway",e.colorway),r("extendtreemapcolors")}},{"../../lib":778,"./layout_attributes":1333}],1335:[function(t,e,r){"use strict";var n=t("d3-hierarchy");e.exports=function(t,e,r){var i,a=r.flipX,o=r.flipY,s="dice-slice"===r.packing,l=r.pad[o?"bottom":"top"],c=r.pad[a?"right":"left"],u=r.pad[a?"left":"right"],f=r.pad[o?"top":"bottom"];s&&(i=c,c=l,l=i,i=u,u=f,f=i);var h=n.treemap().tile(function(t,e){switch(t){case"squarify":return n.treemapSquarify.ratio(e);case"binary":return n.treemapBinary;case"dice":return n.treemapDice;case"slice":return n.treemapSlice;default:return n.treemapSliceDice}}(r.packing,r.squarifyratio)).paddingInner(r.pad.inner).paddingLeft(c).paddingRight(u).paddingTop(l).paddingBottom(f).size(s?[e[1],e[0]]:e)(t);return(s||a||o)&&function t(e,r,n){var i;n.swapXY&&(i=e.x0,e.x0=e.y0,e.y0=i,i=e.x1,e.x1=e.y1,e.y1=i);n.flipX&&(i=e.x0,e.x0=r[0]-e.x1,e.x1=r[0]-i);n.flipY&&(i=e.y0,e.y0=r[1]-e.y1,e.y1=r[1]-i);var a=e.children;if(a)for(var o=0;o-1?E+I:-(L+I):0,z={x0:C,x1:C,y0:P,y1:P+L},O=function(t,e,r){var n=m.tiling.pad,i=function(t){return t-n<=e.x0},a=function(t){return t+n>=e.x1},o=function(t){return t-n<=e.y0},s=function(t){return t+n>=e.y1};return{x0:i(t.x0-n)?0:a(t.x0-n)?r[0]:t.x0,x1:i(t.x1+n)?0:a(t.x1+n)?r[0]:t.x1,y0:o(t.y0-n)?0:s(t.y0-n)?r[1]:t.y0,y1:o(t.y1+n)?0:s(t.y1+n)?r[1]:t.y1}},D=null,R={},F={},B=null,N=function(t,e){return e?R[g(t)]:F[g(t)]},j=function(t,e,r,n){if(e)return R[g(v)]||z;var i=F[m.level]||r;return function(t){return t.data.depth-y.data.depth=(n-=v.r-o)){var y=(r+n)/2;r=y,n=y}var x;h?i<(x=a-v.b)&&x"===Q?(l.x-=a,c.x-=a,u.x-=a,f.x-=a):"/"===Q?(u.x-=a,f.x-=a,o.x-=a/2,s.x-=a/2):"\\"===Q?(l.x-=a,c.x-=a,o.x-=a/2,s.x-=a/2):"<"===Q&&(o.x-=a,s.x-=a),K(l),K(f),K(o),K(c),K(u),K(s),"M"+Z(l.x,l.y)+"L"+Z(c.x,c.y)+"L"+Z(s.x,s.y)+"L"+Z(u.x,u.y)+"L"+Z(f.x,f.y)+"L"+Z(o.x,o.y)+"Z"},toMoveInsideSlice:$,makeUpdateSliceInterpolator:et,makeUpdateTextInterpolator:rt,handleSlicesExit:nt,hasTransition:T,strTransform:it}):b.remove()}e.exports=function(t,e,r,a){var o,s,l=t._fullLayout,c=l._treemaplayer,h=!r;(u("treemap",l),(o=c.selectAll("g.trace.treemap").data(e,(function(t){return t[0].trace.uid}))).enter().append("g").classed("trace",!0).classed("treemap",!0),o.order(),!l.uniformtext.mode&&i.hasTransition(r))?(a&&(s=a()),n.transition().duration(r.duration).ease(r.easing).each("end",(function(){s&&s()})).each("interrupt",(function(){s&&s()})).each((function(){c.selectAll("g.trace").each((function(e){m(t,e,this,r)}))}))):(o.each((function(e){m(t,e,this,r)})),l.uniformtext.mode&&f(t,l._treemaplayer.selectAll(".trace"),"treemap"));h&&o.exit().remove()}},{"../../lib":778,"../bar/constants":923,"../bar/plot":932,"../bar/style":935,"../bar/uniform_text":937,"../sunburst/helpers":1305,"./constants":1328,"./draw_ancestors":1330,"./draw_descendants":1331,d3:169}],1337:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../components/color"),a=t("../../lib"),o=t("../sunburst/helpers"),s=t("../bar/uniform_text").resizeText;function l(t,e,r,n){var s,l,c=(n||{}).hovered,u=e.data.data,f=u.i,h=u.color,p=o.isHierarchyRoot(e),d=1;if(c)s=r._hovered.marker.line.color,l=r._hovered.marker.line.width;else if(p&&h===r.root.color)d=100,s="rgba(0,0,0,0)",l=0;else if(s=a.castOption(r,f,"marker.line.color")||i.defaultLine,l=a.castOption(r,f,"marker.line.width")||0,!r._hasColorscale&&!e.onPathbar){var g=r.marker.depthfade;if(g){var m,v=i.combine(i.addOpacity(r._backgroundColor,.75),h);if(!0===g){var y=o.getMaxDepth(r);m=isFinite(y)?o.isLeaf(e)?0:r._maxVisibleLayers-(e.data.depth-r._entryDepth):e.data.height+1}else m=e.data.depth-r._entryDepth,r._atRootLevel||m++;if(m>0)for(var x=0;x0){var y,x,b,_,w,T=t.xa,k=t.ya;"h"===h.orientation?(w=e,y="y",b=k,x="x",_=T):(w=r,y="x",b=T,x="y",_=k);var M=f[t.index];if(w>=M.span[0]&&w<=M.span[1]){var A=n.extendFlat({},t),S=_.c2p(w,!0),E=o.getKdeValue(M,h,w),C=o.getPositionOnKdePath(M,h,S),L=b._offset,I=b._length;A[y+"0"]=C[0],A[y+"1"]=C[1],A[x+"0"]=A[x+"1"]=S,A[x+"Label"]=x+": "+i.hoverLabelText(_,w)+", "+f[0].t.labels.kde+" "+E.toFixed(3),A.spikeDistance=v[0].spikeDistance;var P=y+"Spike";A[P]=v[0][P],v[0].spikeDistance=void 0,v[0][P]=void 0,A.hovertemplate=!1,m.push(A),(u={stroke:t.color})[y+"1"]=n.constrain(L+C[0],L,L+I),u[y+"2"]=n.constrain(L+C[1],L,L+I),u[x+"1"]=u[x+"2"]=_._offset+S}}d&&(m=m.concat(v))}-1!==p.indexOf("points")&&(c=a.hoverOnPoints(t,e,r));var z=l.selectAll(".violinline-"+h.uid).data(u?[0]:[]);return z.enter().append("line").classed("violinline-"+h.uid,!0).attr("stroke-width",1.5),z.exit().remove(),z.attr(u),"closest"===s?c?[c]:m:c?(m.push(c),m):m}},{"../../lib":778,"../../plots/cartesian/axes":828,"../box/hover":951,"./helpers":1342}],1344:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),layoutAttributes:t("./layout_attributes"),supplyDefaults:t("./defaults"),crossTraceDefaults:t("../box/defaults").crossTraceDefaults,supplyLayoutDefaults:t("./layout_defaults"),calc:t("./calc"),crossTraceCalc:t("./cross_trace_calc"),plot:t("./plot"),style:t("./style"),styleOnSelect:t("../scatter/style").styleOnSelect,hoverPoints:t("./hover"),selectPoints:t("../box/select"),moduleType:"trace",name:"violin",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","symbols","oriented","box-violin","showLegend","violinLayout","zoomScale"],meta:{}}},{"../../plots/cartesian":841,"../box/defaults":949,"../box/select":956,"../scatter/style":1211,"./attributes":1338,"./calc":1339,"./cross_trace_calc":1340,"./defaults":1341,"./hover":1343,"./layout_attributes":1345,"./layout_defaults":1346,"./plot":1347,"./style":1348}],1345:[function(t,e,r){"use strict";var n=t("../box/layout_attributes"),i=t("../../lib").extendFlat;e.exports={violinmode:i({},n.boxmode,{}),violingap:i({},n.boxgap,{}),violingroupgap:i({},n.boxgroupgap,{})}},{"../../lib":778,"../box/layout_attributes":953}],1346:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes"),a=t("../box/layout_defaults");e.exports=function(t,e,r){a._supply(t,e,r,(function(r,a){return n.coerce(t,e,i,r,a)}),"violin")}},{"../../lib":778,"../box/layout_defaults":954,"./layout_attributes":1345}],1347:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../lib"),a=t("../../components/drawing"),o=t("../box/plot"),s=t("../scatter/line_points"),l=t("./helpers");e.exports=function(t,e,r,c){var u=t._fullLayout,f=e.xaxis,h=e.yaxis;function p(t){var e=s(t,{xaxis:f,yaxis:h,connectGaps:!0,baseTolerance:.75,shape:"spline",simplify:!0,linearized:!0});return a.smoothopen(e[0],1)}i.makeTraceGroups(c,r,"trace violins").each((function(t){var r=n.select(this),a=t[0],s=a.t,c=a.trace;if(!0!==c.visible||s.empty)r.remove();else{var d=s.bPos,g=s.bdPos,m=e[s.valLetter+"axis"],v=e[s.posLetter+"axis"],y="both"===c.side,x=y||"positive"===c.side,b=y||"negative"===c.side,_=r.selectAll("path.violin").data(i.identity);_.enter().append("path").style("vector-effect","non-scaling-stroke").attr("class","violin"),_.exit().remove(),_.each((function(t){var e,r,i,a,o,l,f,h,_=n.select(this),w=t.density,T=w.length,k=v.c2l(t.pos+d,!0),M=v.l2p(k);if(c.width)e=s.maxKDE/g;else{var A=u._violinScaleGroupStats[c.scalegroup];e="count"===c.scalemode?A.maxKDE/g*(A.maxCount/t.pts.length):A.maxKDE/g}if(x){for(f=new Array(T),o=0;o<T;o++)(h=f[o]={})[s.posLetter]=k+w[o].v/e,h[s.valLetter]=m.c2l(w[o].t,!0);r=p(f)}if(b){for(f=new Array(T),l=0,o=T-1;l<T;l++,o--)(h=f[l]={})[s.posLetter]=k-w[o].v/e,h[s.valLetter]=m.c2l(w[o].t,!0);i=p(f)}if(y)a=r+"L"+i.substr(1)+"Z";else{var S=[M,m.c2p(w[0].t)],E=[M,m.c2p(w[T-1].t)];"h"===c.orientation&&(S.reverse(),E.reverse()),a=x?"M"+S+"L"+r.substr(1)+"L"+E:"M"+E+"L"+i.substr(1)+"L"+S}_.attr("d",a),t.posCenterPx=M,t.posDensityScale=e*g,t.path=_.node(),t.pathLength=t.path.getTotalLength()/(y?2:1)}));var w,T,k,M=c.box,A=M.width,S=(M.line||{}).width;y?(w=g*A,T=0):x?(w=[0,g*A/2],T=S*{x:1,y:-1}[s.posLetter]):(w=[g*A/2,0],T=S*{x:-1,y:1}[s.posLetter]),o.plotBoxAndWhiskers(r,{pos:v,val:m},c,{bPos:d,bdPos:w,bPosPxOffset:T}),o.plotBoxMean(r,{pos:v,val:m},c,{bPos:d,bdPos:w,bPosPxOffset:T}),!c.box.visible&&c.meanline.visible&&(k=i.identity);var E=r.selectAll("path.meanline").data(k||[]);E.enter().append("path").attr("class","meanline").style("fill","none").style("vector-effect","non-scaling-stroke"),E.exit().remove(),E.each((function(t){var e=m.c2p(t.mean,!0),r=l.getPositionOnKdePath(t,c,e);n.select(this).attr("d","h"===c.orientation?"M"+e+","+r[0]+"V"+r[1]:"M"+r[0]+","+e+"H"+r[1])})),o.plotPoints(r,{x:f,y:h},c,s)}}))}},{"../../components/drawing":665,"../../lib":778,"../box/plot":955,"../scatter/line_points":1201,"./helpers":1342,d3:169}],1348:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../components/color"),a=t("../scatter/style").stylePoints;e.exports=function(t){var e=n.select(t).selectAll("g.trace.violins");e.style("opacity",(function(t){return t[0].trace.opacity})),e.each((function(e){var r=e[0].trace,o=n.select(this),s=r.box||{},l=s.line||{},c=r.meanline||{},u=c.width;o.selectAll("path.violin").style("stroke-width",r.line.width+"px").call(i.stroke,r.line.color).call(i.fill,r.fillcolor),o.selectAll("path.box").style("stroke-width",l.width+"px").call(i.stroke,l.color).call(i.fill,s.fillcolor);var f={"stroke-width":u+"px","stroke-dasharray":2*u+"px,"+u+"px"};o.selectAll("path.mean").style(f).call(i.stroke,c.color),o.selectAll("path.meanline").style(f).call(i.stroke,c.color),a(o,r,t)}))}},{"../../components/color":643,"../scatter/style":1211,d3:169}],1349:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../isosurface/attributes"),a=t("../surface/attributes"),o=t("../../plots/attributes"),s=t("../../lib/extend").extendFlat,l=t("../../plot_api/edit_types").overrideAll,c=e.exports=l(s({x:i.x,y:i.y,z:i.z,value:i.value,isomin:i.isomin,isomax:i.isomax,surface:i.surface,spaceframe:{show:{valType:"boolean",dflt:!1},fill:{valType:"number",min:0,max:1,dflt:1}},slices:i.slices,caps:i.caps,text:i.text,hovertext:i.hovertext,hovertemplate:i.hovertemplate},n("",{colorAttr:"`value`",showScaleDflt:!0,editTypeOverride:"calc"}),{colorbar:i.colorbar,opacity:i.opacity,opacityscale:a.opacityscale,lightposition:i.lightposition,lighting:i.lighting,flatshading:i.flatshading,contour:i.contour,hoverinfo:s({},o.hoverinfo),showlegend:s({},o.showlegend,{dflt:!1})}),"calc","nested");c.x.editType=c.y.editType=c.z.editType=c.value.editType="calc+clearAxisTypes",c.transforms=void 0},{"../../components/colorscale/attributes":650,"../../lib/extend":768,"../../plot_api/edit_types":810,"../../plots/attributes":824,"../isosurface/attributes":1123,"../surface/attributes":1311}],1350:[function(t,e,r){"use strict";var n=t("gl-mesh3d"),i=t("../../lib/gl_format_color").parseColorScale,a=t("../../lib/str2rgbarray"),o=t("../../components/colorscale").extractOpts,s=t("../../plots/gl3d/zip3"),l=t("../isosurface/convert").findNearestOnAxis,c=t("../isosurface/convert").generateIsoMeshes;function u(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name="",this.data=null,this.showContour=!1}var f=u.prototype;f.handlePick=function(t){if(t.object===this.mesh){var e=t.data.index,r=this.data._meshX[e],n=this.data._meshY[e],i=this.data._meshZ[e],a=this.data._Ys.length,o=this.data._Zs.length,s=l(r,this.data._Xs).id,c=l(n,this.data._Ys).id,u=l(i,this.data._Zs).id,f=t.index=u+o*c+o*a*s;t.traceCoordinate=[this.data._meshX[f],this.data._meshY[f],this.data._meshZ[f],this.data._value[f]];var h=this.data.hovertext||this.data.text;return Array.isArray(h)&&void 0!==h[f]?t.textLabel=h[f]:h&&(t.textLabel=h),!0}},f.update=function(t){var e=this.scene,r=e.fullSceneLayout;function n(t,e,r,n){return e.map((function(e){return t.d2l(e,0,n)*r}))}this.data=c(t);var l={positions:s(n(r.xaxis,t._meshX,e.dataScale[0],t.xcalendar),n(r.yaxis,t._meshY,e.dataScale[1],t.ycalendar),n(r.zaxis,t._meshZ,e.dataScale[2],t.zcalendar)),cells:s(t._meshI,t._meshJ,t._meshK),lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,opacityscale:t.opacityscale,contourEnable:t.contour.show,contourColor:a(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading},u=o(t);l.vertexIntensity=t._meshIntensity,l.vertexIntensityBounds=[u.min,u.max],l.colormap=i(t),this.mesh.update(l)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new u(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{"../../components/colorscale":655,"../../lib/gl_format_color":774,"../../lib/str2rgbarray":802,"../../plots/gl3d/zip3":881,"../isosurface/convert":1125,"gl-mesh3d":309}],1351:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("../isosurface/defaults").supplyIsoDefaults,o=t("../surface/defaults").opacityscaleDefaults;e.exports=function(t,e,r,s){function l(r,a){return n.coerce(t,e,i,r,a)}a(t,e,r,s,l),o(t,e,s,l)}},{"../../lib":778,"../isosurface/defaults":1126,"../surface/defaults":1314,"./attributes":1349}],1352:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("../isosurface/calc"),colorbar:{min:"cmin",max:"cmax"},plot:t("./convert"),moduleType:"trace",name:"volume",basePlotModule:t("../../plots/gl3d"),categories:["gl3d","showLegend"],meta:{}}},{"../../plots/gl3d":870,"../isosurface/calc":1124,"./attributes":1349,"./convert":1350,"./defaults":1351}],1353:[function(t,e,r){"use strict";var n=t("../bar/attributes"),i=t("../scatter/attributes").line,a=t("../../plots/attributes"),o=t("../../plots/template_attributes").hovertemplateAttrs,s=t("../../plots/template_attributes").texttemplateAttrs,l=t("./constants"),c=t("../../lib/extend").extendFlat,u=t("../../components/color");function f(t){return{marker:{color:c({},n.marker.color,{arrayOk:!1,editType:"style"}),line:{color:c({},n.marker.line.color,{arrayOk:!1,editType:"style"}),width:c({},n.marker.line.width,{arrayOk:!1,editType:"style"}),editType:"style"},editType:"style"},editType:"style"}}e.exports={measure:{valType:"data_array",dflt:[],editType:"calc"},base:{valType:"number",dflt:null,arrayOk:!1,editType:"calc"},x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,xperiod:n.xperiod,yperiod:n.yperiod,xperiod0:n.xperiod0,yperiod0:n.yperiod0,xperiodalignment:n.xperiodalignment,yperiodalignment:n.yperiodalignment,hovertext:n.hovertext,hovertemplate:o({},{keys:l.eventDataKeys}),hoverinfo:c({},a.hoverinfo,{flags:["name","x","y","text","initial","delta","final"]}),textinfo:{valType:"flaglist",flags:["label","text","initial","delta","final"],extras:["none"],editType:"plot",arrayOk:!1},texttemplate:s({editType:"plot"},{keys:l.eventDataKeys.concat(["label"])}),text:n.text,textposition:n.textposition,insidetextanchor:n.insidetextanchor,textangle:n.textangle,textfont:n.textfont,insidetextfont:n.insidetextfont,outsidetextfont:n.outsidetextfont,constraintext:n.constraintext,cliponaxis:n.cliponaxis,orientation:n.orientation,offset:n.offset,width:n.width,increasing:f(),decreasing:f(),totals:f(),connector:{line:{color:c({},i.color,{dflt:u.defaultLine}),width:c({},i.width,{editType:"plot"}),dash:i.dash,editType:"plot"},mode:{valType:"enumerated",values:["spanning","between"],dflt:"between",editType:"plot"},visible:{valType:"boolean",dflt:!0,editType:"plot"},editType:"plot"},offsetgroup:n.offsetgroup,alignmentgroup:n.alignmentgroup}},{"../../components/color":643,"../../lib/extend":768,"../../plots/attributes":824,"../../plots/template_attributes":906,"../bar/attributes":921,"../scatter/attributes":1187,"./constants":1355}],1354:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes"),i=t("../../plots/cartesian/align_period"),a=t("../../lib").mergeArray,o=t("../scatter/calc_selection"),s=t("../../constants/numerical").BADNUM;function l(t){return"a"===t||"absolute"===t}function c(t){return"t"===t||"total"===t}e.exports=function(t,e){var r,u,f,h,p=n.getFromId(t,e.xaxis||"x"),d=n.getFromId(t,e.yaxis||"y");"h"===e.orientation?(r=p.makeCalcdata(e,"x"),f=d.makeCalcdata(e,"y"),u=i(e,d,"y",f),h=!!e.yperiodalignment):(r=d.makeCalcdata(e,"y"),f=p.makeCalcdata(e,"x"),u=i(e,p,"x",f),h=!!e.xperiodalignment);for(var g,m=Math.min(u.length,r.length),v=new Array(m),y=0,x=!1,b=0;b")),c.color=function(t,e){var r=t[e.dir].marker,n=r.color,a=r.line.color,o=r.line.width;if(i(n))return n;if(i(a)&&o)return a}(f,d),[c]}function w(t){return n(p,t)}}},{"../../components/color":643,"../../constants/delta.js":747,"../../plots/cartesian/axes":828,"../bar/hover":928}],1360:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),layoutAttributes:t("./layout_attributes"),supplyDefaults:t("./defaults").supplyDefaults,crossTraceDefaults:t("./defaults").crossTraceDefaults,supplyLayoutDefaults:t("./layout_defaults"),calc:t("./calc"),crossTraceCalc:t("./cross_trace_calc"),plot:t("./plot"),style:t("./style").style,hoverPoints:t("./hover"),eventData:t("./event_data"),selectPoints:t("../bar/select"),moduleType:"trace",name:"waterfall",basePlotModule:t("../../plots/cartesian"),categories:["bar-like","cartesian","svg","oriented","showLegend","zoomScale"],meta:{}}},{"../../plots/cartesian":841,"../bar/select":933,"./attributes":1353,"./calc":1354,"./cross_trace_calc":1356,"./defaults":1357,"./event_data":1358,"./hover":1359,"./layout_attributes":1361,"./layout_defaults":1362,"./plot":1363,"./style":1364}],1361:[function(t,e,r){"use strict";e.exports={waterfallmode:{valType:"enumerated",values:["group","overlay"],dflt:"group",editType:"calc"},waterfallgap:{valType:"number",min:0,max:1,editType:"calc"},waterfallgroupgap:{valType:"number",min:0,max:1,dflt:0,editType:"calc"}}},{}],1362:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e,r){var a=!1;function o(r,a){return n.coerce(t,e,i,r,a)}for(var s=0;s0&&(m+=h?"M"+f[0]+","+d[1]+"V"+d[0]:"M"+f[1]+","+d[0]+"H"+f[0]),"between"!==p&&(r.isSum||s path").each((function(t){if(!t.isBlank){var e=s[t.dir].marker;n.select(this).call(a.fill,e.color).call(a.stroke,e.line.color).call(i.dashLine,e.line.dash,e.line.width).style("opacity",s.selectedpoints&&!t.selected?o:1)}})),c(r,s,t),r.selectAll(".lines").each((function(){var t=s.connector.line;i.lineGroupStyle(n.select(this).selectAll("path"),t.width,t.color,t.dash)}))}))}}},{"../../components/color":643,"../../components/drawing":665,"../../constants/interactions":752,"../bar/style":935,"../bar/uniform_text":937,d3:169}],1365:[function(t,e,r){"use strict";var n=t("../plots/cartesian/axes"),i=t("../lib"),a=t("../plot_api/plot_schema"),o=t("./helpers").pointsAccessorFunction,s=t("../constants/numerical").BADNUM;r.moduleType="transform",r.name="aggregate";var l=r.attributes={enabled:{valType:"boolean",dflt:!0,editType:"calc"},groups:{valType:"string",strict:!0,noBlank:!0,arrayOk:!0,dflt:"x",editType:"calc"},aggregations:{_isLinkedToArray:"aggregation",target:{valType:"string",editType:"calc"},func:{valType:"enumerated",values:["count","sum","avg","median","mode","rms","stddev","min","max","first","last","change","range"],dflt:"first",editType:"calc"},funcmode:{valType:"enumerated",values:["sample","population"],dflt:"sample",editType:"calc"},enabled:{valType:"boolean",dflt:!0,editType:"calc"},editType:"calc"},editType:"calc"},c=l.aggregations;function u(t,e,r,a){if(a.enabled){for(var o=a.target,l=i.nestedProperty(e,o),c=l.get(),u=function(t,e){var r=t.func,n=e.d2c,a=e.c2d;switch(r){case"count":return f;case"first":return h;case"last":return p;case"sum":return function(t,e){for(var r=0,i=0;ii&&(i=u,o=c)}}return i?a(o):s};case"rms":return function(t,e){for(var r=0,i=0,o=0;o":return function(t){return h(t)>s};case">=":return function(t){return h(t)>=s};case"[]":return function(t){var e=h(t);return e>=s[0]&&e<=s[1]};case"()":return function(t){var e=h(t);return e>s[0]&&e=s[0]&&es[0]&&e<=s[1]};case"][":return function(t){var e=h(t);return e<=s[0]||e>=s[1]};case")(":return function(t){var e=h(t);return es[1]};case"](":return function(t){var e=h(t);return e<=s[0]||e>s[1]};case")[":return function(t){var e=h(t);return e=s[1]};case"{}":return function(t){return-1!==s.indexOf(h(t))};case"}{":return function(t){return-1===s.indexOf(h(t))}}}(r,a.getDataToCoordFunc(t,e,s,i),h),x={},b={},_=0;d?(m=function(t){x[t.astr]=n.extendDeep([],t.get()),t.set(new Array(f))},v=function(t,e){var r=x[t.astr][e];t.get()[e]=r}):(m=function(t){x[t.astr]=n.extendDeep([],t.get()),t.set([])},v=function(t,e){var r=x[t.astr][e];t.get().push(r)}),k(m);for(var w=o(e.transforms,r),T=0;T<f;T++){y(i[T])?(k(v,T),b[_++]=w(T)):d&&_++}r._indexToPoints=b,e._length=_}}function k(t,r){for(var i=0;i<p.length;i++){t(n.nestedProperty(e,p[i]),r)}}}},{"../constants/filter_ops":749,"../lib":778,"../plots/cartesian/axes":828,"../registry":911,"./helpers":1368}],1367:[function(t,e,r){"use strict";var n=t("../lib"),i=t("../plot_api/plot_schema"),a=t("../plots/plots"),o=t("./helpers").pointsAccessorFunction;function s(t,e){var r,s,l,c,u,f,h,p,d,g,m=e.transform,v=e.transformIndex,y=t.transforms[v].groups,x=o(t.transforms,m);if(!n.isArrayOrTypedArray(y)||0===y.length)return[t];var b=n.filterUnique(y),_=new Array(b.length),w=y.length,T=i.findArrayAttributes(t),k=m.styles||[],M={};for(r=0;r<k.length;r++)M[k[r].target]=k[r].value;m.styles&&(g=n.keyedContainer(m,"styles","target","value.name"));var A={},S={};for(r=0;r<b.length;r++){A[f=b[r]]=r,S[f]=0,(h=_[r]=n.extendDeepNoArrays({},t))._group=f,h.transforms[v]._indexToPoints={};var E=null;for(g&&(E=g.get(f)),h.name=E||""===E?E:n.templateString(m.nameformat,{trace:t.name,group:f}),p=h.transforms,h.transforms=[],s=0;s<p.length;s++)h.transforms[s]=n.extendDeepNoArrays({},p[s]);for(s=0;s<T.length;s++)n.nestedProperty(h,T[s]).set([])}for(l=0;l<T.length;l++){for(c=T[l],s=0,d=[];s<b.length;s++)d[s]=n.nestedProperty(_[s],c).get();for(u=n.nestedProperty(t,c).get(),s=0;s<w;s++)d[A[y[s]]].push(u[s])}for(s=0;s<w;s++){(h=_[A[y[s]]]).transforms[v]._indexToPoints[S[y[s]]]=x(s),S[y[s]]++}for(r=0;r<b.length;r++)f=b[r],h=_[r],a.clearExpandedTraceDefaultColors(h),h=n.extendDeepNoArrays(h,M[f]||{});return _}r.moduleType="transform",r.name="groupby",r.attributes={enabled:{valType:"boolean",dflt:!0,editType:"calc"},groups:{valType:"data_array",dflt:[],editType:"calc"},nameformat:{valType:"string",editType:"calc"},styles:{_isLinkedToArray:"style",target:{valType:"string",editType:"calc"},value:{valType:"any",dflt:{},editType:"calc",_compareAsJSON:!0},editType:"calc"},editType:"calc"},r.supplyDefaults=function(t,e,i){var a,o={};function s(e,i){return n.coerce(t,o,r.attributes,e,i)}if(!s("enabled"))return o;s("groups"),s("nameformat",i._dataLength>1?"%{group} (%{trace})":"%{group}");var l=t.styles,c=o.styles=[];if(l)for(a=0;a
(mp-1178770)
-3.848 eV/atom (+0.123 eV/atom)", "Y2, "width": 3}, "opacity": 0.8, "size": 12}, "mode": "markers", "name": "Stable", "showlegend": true, "type": "scatter3d", "x": [0.5196152422706631, 0.0, 0.4330127018922193, 0.0, 0.49487165930539345, 0.5412658773652741, 0.5196152422706631, 0.8660254037844386], "y": [0.3, 0.0, 0.75, 1.0, 0.7142857142857142, 0.5625, 0.5, 0.5], "z": [-2.871, 0.0, -0.978, 0.0, -0.928, -1.507, -1.956, 0.0]}], {"autosize": true, "height": 700, "hovermode": "closest", "legend": {"orientation": "h", "traceorder": "reversed", "x": 0.5, "xanchor": "center", "y": 0.0, "yanchor": "top"}, "margin": {"b": 10, "l": 0, "pad": 0, "r": 0, "t": 0}, "paper_bgcolor": "rgba(0,0,0,0)", "plot_bgcolor": "rgba(0,0,0,0)", "scene": {"annotations": [{"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "Y", "x": 0.0, "xanchor": "right", "xshift": -10, "y": 0.0, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "Mn", "x": 0.0, "xanchor": "right", "xshift": -10, "y": 1.0, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "O", "x": 0.8660254037844386, "xanchor": "right", "xshift": -10, "y": 0.5, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"opacity": 0, "text": "", "x": 1, "y": 1, "z": 0}], "aspectratio": {"x": 1.7, "y": 1.7, "z": 1.2}, "camera": {"center": {"x": -0.1, "y": 0, "z": -0.15}, "eye": {"x": -0.1, "y": 0, "z": 2.5}, "projection": {"type": "orthographic"}}, "xaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}, "yaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}, "zaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}}, "showlegend": true, "template": {"data": {"bar": [{"error_x": {"color": "#2a3f5f"}, "error_y": {"color": "#2a3f5f"}, "marker": {"line": {"color": "#E5ECF6", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "#E5ECF6", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "baxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('88a66b7d-a7e6-4828-b527-178f58387ba1'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); O3, "opacity": 0.8, "size": 12}, "mode": "markers", "name": "Stable", "showlegend": true, "type": "scatter3d", "x": [0.5196152422706631, 0.0, 0.4330127018922193, 0.0, 0.49487165930539345, 0.5412658773652741, 0.5196152422706631, 0.8660254037844386], "y": [0.3, 0.0, 0.75, 1.0, 0.7142857142857142, 0.5625, 0.5, 0.5], "z": [-2.871, 0.0, -0.978, 0.0, -0.928, -1.507, -1.956, 0.0]}], {"autosize": true, "height": 700, "hovermode": "closest", "legend": {"orientation": "h", "traceorder": "reversed", "x": 0.5, "xanchor": "center", "y": 0.0, "yanchor": "top"}, "margin": {"b": 10, "l": 0, "pad": 0, "r": 0, "t": 0}, "paper_bgcolor": "rgba(0,0,0,0)", "plot_bgcolor": "rgba(0,0,0,0)", "scene": {"annotations": [{"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "Y", "x": 0.0, "xanchor": "right", "xshift": -10, "y": 0.0, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "Mn", "x": 0.0, "xanchor": "right", "xshift": -10, "y": 1.0, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "O", "x": 0.8660254037844386, "xanchor": "right", "xshift": -10, "y": 0.5, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"opacity": 0, "text": "", "x": 1, "y": 1, "z": 0}], "aspectratio": {"x": 1.7, "y": 1.7, "z": 1.2}, "camera": {"center": {"x": -0.1, "y": 0, "z": -0.15}, "eye": {"x": -0.1, "y": 0, "z": 2.5}, "projection": {"type": "orthographic"}}, "xaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}, "yaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}, "zaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}}, "showlegend": true, "template": {"data": {"bar": [{"error_x": {"color": "#2a3f5f"}, "error_y": {"color": "#2a3f5f"}, "marker": {"line": {"color": "#E5ECF6", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "#E5ECF6", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "baxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('88a66b7d-a7e6-4828-b527-178f58387ba1'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); (mp-558573)
-3.923 eV/atom (+0.048 eV/atom)", "Y2, "showlegend": true, "type": "scatter3d", "x": [0.5196152422706631, 0.0, 0.4330127018922193, 0.0, 0.49487165930539345, 0.5412658773652741, 0.5196152422706631, 0.8660254037844386], "y": [0.3, 0.0, 0.75, 1.0, 0.7142857142857142, 0.5625, 0.5, 0.5], "z": [-2.871, 0.0, -0.978, 0.0, -0.928, -1.507, -1.956, 0.0]}], {"autosize": true, "height": 700, "hovermode": "closest", "legend": {"orientation": "h", "traceorder": "reversed", "x": 0.5, "xanchor": "center", "y": 0.0, "yanchor": "top"}, "margin": {"b": 10, "l": 0, "pad": 0, "r": 0, "t": 0}, "paper_bgcolor": "rgba(0,0,0,0)", "plot_bgcolor": "rgba(0,0,0,0)", "scene": {"annotations": [{"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "Y", "x": 0.0, "xanchor": "right", "xshift": -10, "y": 0.0, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "Mn", "x": 0.0, "xanchor": "right", "xshift": -10, "y": 1.0, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "O", "x": 0.8660254037844386, "xanchor": "right", "xshift": -10, "y": 0.5, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"opacity": 0, "text": "", "x": 1, "y": 1, "z": 0}], "aspectratio": {"x": 1.7, "y": 1.7, "z": 1.2}, "camera": {"center": {"x": -0.1, "y": 0, "z": -0.15}, "eye": {"x": -0.1, "y": 0, "z": 2.5}, "projection": {"type": "orthographic"}}, "xaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}, "yaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}, "zaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}}, "showlegend": true, "template": {"data": {"bar": [{"error_x": {"color": "#2a3f5f"}, "error_y": {"color": "#2a3f5f"}, "marker": {"line": {"color": "#E5ECF6", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "#E5ECF6", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "baxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('88a66b7d-a7e6-4828-b527-178f58387ba1'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); O3": true, "type": "scatter3d", "x": [0.5196152422706631, 0.0, 0.4330127018922193, 0.0, 0.49487165930539345, 0.5412658773652741, 0.5196152422706631, 0.8660254037844386], "y": [0.3, 0.0, 0.75, 1.0, 0.7142857142857142, 0.5625, 0.5, 0.5], "z": [-2.871, 0.0, -0.978, 0.0, -0.928, -1.507, -1.956, 0.0]}], {"autosize": true, "height": 700, "hovermode": "closest", "legend": {"orientation": "h", "traceorder": "reversed", "x": 0.5, "xanchor": "center", "y": 0.0, "yanchor": "top"}, "margin": {"b": 10, "l": 0, "pad": 0, "r": 0, "t": 0}, "paper_bgcolor": "rgba(0,0,0,0)", "plot_bgcolor": "rgba(0,0,0,0)", "scene": {"annotations": [{"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "Y", "x": 0.0, "xanchor": "right", "xshift": -10, "y": 0.0, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "Mn", "x": 0.0, "xanchor": "right", "xshift": -10, "y": 1.0, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "O", "x": 0.8660254037844386, "xanchor": "right", "xshift": -10, "y": 0.5, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"opacity": 0, "text": "", "x": 1, "y": 1, "z": 0}], "aspectratio": {"x": 1.7, "y": 1.7, "z": 1.2}, "camera": {"center": {"x": -0.1, "y": 0, "z": -0.15}, "eye": {"x": -0.1, "y": 0, "z": 2.5}, "projection": {"type": "orthographic"}}, "xaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}, "yaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}, "zaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}}, "showlegend": true, "template": {"data": {"bar": [{"error_x": {"color": "#2a3f5f"}, "error_y": {"color": "#2a3f5f"}, "marker": {"line": {"color": "#E5ECF6", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "#E5ECF6", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "baxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('88a66b7d-a7e6-4828-b527-178f58387ba1'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); (mp-13061)
-3.899 eV/atom (+0.072 eV/atom)", "Y230127018922193, 0.0, 0.49487165930539345, 0.5412658773652741, 0.5196152422706631, 0.8660254037844386], "y": [0.3, 0.0, 0.75, 1.0, 0.7142857142857142, 0.5625, 0.5, 0.5], "z": [-2.871, 0.0, -0.978, 0.0, -0.928, -1.507, -1.956, 0.0]}], {"autosize": true, "height": 700, "hovermode": "closest", "legend": {"orientation": "h", "traceorder": "reversed", "x": 0.5, "xanchor": "center", "y": 0.0, "yanchor": "top"}, "margin": {"b": 10, "l": 0, "pad": 0, "r": 0, "t": 0}, "paper_bgcolor": "rgba(0,0,0,0)", "plot_bgcolor": "rgba(0,0,0,0)", "scene": {"annotations": [{"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "Y", "x": 0.0, "xanchor": "right", "xshift": -10, "y": 0.0, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "Mn", "x": 0.0, "xanchor": "right", "xshift": -10, "y": 1.0, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "O", "x": 0.8660254037844386, "xanchor": "right", "xshift": -10, "y": 0.5, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"opacity": 0, "text": "", "x": 1, "y": 1, "z": 0}], "aspectratio": {"x": 1.7, "y": 1.7, "z": 1.2}, "camera": {"center": {"x": -0.1, "y": 0, "z": -0.15}, "eye": {"x": -0.1, "y": 0, "z": 2.5}, "projection": {"type": "orthographic"}}, "xaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}, "yaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}, "zaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}}, "showlegend": true, "template": {"data": {"bar": [{"error_x": {"color": "#2a3f5f"}, "error_y": {"color": "#2a3f5f"}, "marker": {"line": {"color": "#E5ECF6", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "#E5ECF6", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "baxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('88a66b7d-a7e6-4828-b527-178f58387ba1'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); O33, 0.0, 0.49487165930539345, 0.5412658773652741, 0.5196152422706631, 0.8660254037844386], "y": [0.3, 0.0, 0.75, 1.0, 0.7142857142857142, 0.5625, 0.5, 0.5], "z": [-2.871, 0.0, -0.978, 0.0, -0.928, -1.507, -1.956, 0.0]}], {"autosize": true, "height": 700, "hovermode": "closest", "legend": {"orientation": "h", "traceorder": "reversed", "x": 0.5, "xanchor": "center", "y": 0.0, "yanchor": "top"}, "margin": {"b": 10, "l": 0, "pad": 0, "r": 0, "t": 0}, "paper_bgcolor": "rgba(0,0,0,0)", "plot_bgcolor": "rgba(0,0,0,0)", "scene": {"annotations": [{"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "Y", "x": 0.0, "xanchor": "right", "xshift": -10, "y": 0.0, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "Mn", "x": 0.0, "xanchor": "right", "xshift": -10, "y": 1.0, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "O", "x": 0.8660254037844386, "xanchor": "right", "xshift": -10, "y": 0.5, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"opacity": 0, "text": "", "x": 1, "y": 1, "z": 0}], "aspectratio": {"x": 1.7, "y": 1.7, "z": 1.2}, "camera": {"center": {"x": -0.1, "y": 0, "z": -0.15}, "eye": {"x": -0.1, "y": 0, "z": 2.5}, "projection": {"type": "orthographic"}}, "xaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}, "yaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}, "zaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}}, "showlegend": true, "template": {"data": {"bar": [{"error_x": {"color": "#2a3f5f"}, "error_y": {"color": "#2a3f5f"}, "marker": {"line": {"color": "#E5ECF6", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "#E5ECF6", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "baxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('88a66b7d-a7e6-4828-b527-178f58387ba1'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); (mp-775906)
-3.908 eV/atom (+0.063 eV/atom)", "Y21, 0.8660254037844386], "y": [0.3, 0.0, 0.75, 1.0, 0.7142857142857142, 0.5625, 0.5, 0.5], "z": [-2.871, 0.0, -0.978, 0.0, -0.928, -1.507, -1.956, 0.0]}], {"autosize": true, "height": 700, "hovermode": "closest", "legend": {"orientation": "h", "traceorder": "reversed", "x": 0.5, "xanchor": "center", "y": 0.0, "yanchor": "top"}, "margin": {"b": 10, "l": 0, "pad": 0, "r": 0, "t": 0}, "paper_bgcolor": "rgba(0,0,0,0)", "plot_bgcolor": "rgba(0,0,0,0)", "scene": {"annotations": [{"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "Y", "x": 0.0, "xanchor": "right", "xshift": -10, "y": 0.0, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "Mn", "x": 0.0, "xanchor": "right", "xshift": -10, "y": 1.0, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "O", "x": 0.8660254037844386, "xanchor": "right", "xshift": -10, "y": 0.5, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"opacity": 0, "text": "", "x": 1, "y": 1, "z": 0}], "aspectratio": {"x": 1.7, "y": 1.7, "z": 1.2}, "camera": {"center": {"x": -0.1, "y": 0, "z": -0.15}, "eye": {"x": -0.1, "y": 0, "z": 2.5}, "projection": {"type": "orthographic"}}, "xaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}, "yaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}, "zaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}}, "showlegend": true, "template": {"data": {"bar": [{"error_x": {"color": "#2a3f5f"}, "error_y": {"color": "#2a3f5f"}, "marker": {"line": {"color": "#E5ECF6", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "#E5ECF6", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "baxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('88a66b7d-a7e6-4828-b527-178f58387ba1'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); Mn37844386], "y": [0.3, 0.0, 0.75, 1.0, 0.7142857142857142, 0.5625, 0.5, 0.5], "z": [-2.871, 0.0, -0.978, 0.0, -0.928, -1.507, -1.956, 0.0]}], {"autosize": true, "height": 700, "hovermode": "closest", "legend": {"orientation": "h", "traceorder": "reversed", "x": 0.5, "xanchor": "center", "y": 0.0, "yanchor": "top"}, "margin": {"b": 10, "l": 0, "pad": 0, "r": 0, "t": 0}, "paper_bgcolor": "rgba(0,0,0,0)", "plot_bgcolor": "rgba(0,0,0,0)", "scene": {"annotations": [{"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "Y", "x": 0.0, "xanchor": "right", "xshift": -10, "y": 0.0, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "Mn", "x": 0.0, "xanchor": "right", "xshift": -10, "y": 1.0, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "O", "x": 0.8660254037844386, "xanchor": "right", "xshift": -10, "y": 0.5, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"opacity": 0, "text": "", "x": 1, "y": 1, "z": 0}], "aspectratio": {"x": 1.7, "y": 1.7, "z": 1.2}, "camera": {"center": {"x": -0.1, "y": 0, "z": -0.15}, "eye": {"x": -0.1, "y": 0, "z": 2.5}, "projection": {"type": "orthographic"}}, "xaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}, "yaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}, "zaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}}, "showlegend": true, "template": {"data": {"bar": [{"error_x": {"color": "#2a3f5f"}, "error_y": {"color": "#2a3f5f"}, "marker": {"line": {"color": "#E5ECF6", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "#E5ECF6", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "baxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('88a66b7d-a7e6-4828-b527-178f58387ba1'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); O9: [0.3, 0.0, 0.75, 1.0, 0.7142857142857142, 0.5625, 0.5, 0.5], "z": [-2.871, 0.0, -0.978, 0.0, -0.928, -1.507, -1.956, 0.0]}], {"autosize": true, "height": 700, "hovermode": "closest", "legend": {"orientation": "h", "traceorder": "reversed", "x": 0.5, "xanchor": "center", "y": 0.0, "yanchor": "top"}, "margin": {"b": 10, "l": 0, "pad": 0, "r": 0, "t": 0}, "paper_bgcolor": "rgba(0,0,0,0)", "plot_bgcolor": "rgba(0,0,0,0)", "scene": {"annotations": [{"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "Y", "x": 0.0, "xanchor": "right", "xshift": -10, "y": 0.0, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "Mn", "x": 0.0, "xanchor": "right", "xshift": -10, "y": 1.0, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "O", "x": 0.8660254037844386, "xanchor": "right", "xshift": -10, "y": 0.5, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"opacity": 0, "text": "", "x": 1, "y": 1, "z": 0}], "aspectratio": {"x": 1.7, "y": 1.7, "z": 1.2}, "camera": {"center": {"x": -0.1, "y": 0, "z": -0.15}, "eye": {"x": -0.1, "y": 0, "z": 2.5}, "projection": {"type": "orthographic"}}, "xaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}, "yaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}, "zaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}}, "showlegend": true, "template": {"data": {"bar": [{"error_x": {"color": "#2a3f5f"}, "error_y": {"color": "#2a3f5f"}, "marker": {"line": {"color": "#E5ECF6", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "#E5ECF6", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "baxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('88a66b7d-a7e6-4828-b527-178f58387ba1'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); (mp-1350656)
-2.526 eV/atom (+0.122 eV/atom)", "Y6 [-2.871, 0.0, -0.978, 0.0, -0.928, -1.507, -1.956, 0.0]}], {"autosize": true, "height": 700, "hovermode": "closest", "legend": {"orientation": "h", "traceorder": "reversed", "x": 0.5, "xanchor": "center", "y": 0.0, "yanchor": "top"}, "margin": {"b": 10, "l": 0, "pad": 0, "r": 0, "t": 0}, "paper_bgcolor": "rgba(0,0,0,0)", "plot_bgcolor": "rgba(0,0,0,0)", "scene": {"annotations": [{"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "Y", "x": 0.0, "xanchor": "right", "xshift": -10, "y": 0.0, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "Mn", "x": 0.0, "xanchor": "right", "xshift": -10, "y": 1.0, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "O", "x": 0.8660254037844386, "xanchor": "right", "xshift": -10, "y": 0.5, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"opacity": 0, "text": "", "x": 1, "y": 1, "z": 0}], "aspectratio": {"x": 1.7, "y": 1.7, "z": 1.2}, "camera": {"center": {"x": -0.1, "y": 0, "z": -0.15}, "eye": {"x": -0.1, "y": 0, "z": 2.5}, "projection": {"type": "orthographic"}}, "xaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}, "yaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}, "zaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}}, "showlegend": true, "template": {"data": {"bar": [{"error_x": {"color": "#2a3f5f"}, "error_y": {"color": "#2a3f5f"}, "marker": {"line": {"color": "#E5ECF6", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "#E5ECF6", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "baxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('88a66b7d-a7e6-4828-b527-178f58387ba1'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); Mn2 -0.978, 0.0, -0.928, -1.507, -1.956, 0.0]}], {"autosize": true, "height": 700, "hovermode": "closest", "legend": {"orientation": "h", "traceorder": "reversed", "x": 0.5, "xanchor": "center", "y": 0.0, "yanchor": "top"}, "margin": {"b": 10, "l": 0, "pad": 0, "r": 0, "t": 0}, "paper_bgcolor": "rgba(0,0,0,0)", "plot_bgcolor": "rgba(0,0,0,0)", "scene": {"annotations": [{"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "Y", "x": 0.0, "xanchor": "right", "xshift": -10, "y": 0.0, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "Mn", "x": 0.0, "xanchor": "right", "xshift": -10, "y": 1.0, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "O", "x": 0.8660254037844386, "xanchor": "right", "xshift": -10, "y": 0.5, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"opacity": 0, "text": "", "x": 1, "y": 1, "z": 0}], "aspectratio": {"x": 1.7, "y": 1.7, "z": 1.2}, "camera": {"center": {"x": -0.1, "y": 0, "z": -0.15}, "eye": {"x": -0.1, "y": 0, "z": 2.5}, "projection": {"type": "orthographic"}}, "xaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}, "yaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}, "zaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}}, "showlegend": true, "template": {"data": {"bar": [{"error_x": {"color": "#2a3f5f"}, "error_y": {"color": "#2a3f5f"}, "marker": {"line": {"color": "#E5ECF6", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "#E5ECF6", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "baxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('88a66b7d-a7e6-4828-b527-178f58387ba1'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); 3, -0.928, -1.507, -1.956, 0.0]}], {"autosize": true, "height": 700, "hovermode": "closest", "legend": {"orientation": "h", "traceorder": "reversed", "x": 0.5, "xanchor": "center", "y": 0.0, "yanchor": "top"}, "margin": {"b": 10, "l": 0, "pad": 0, "r": 0, "t": 0}, "paper_bgcolor": "rgba(0,0,0,0)", "plot_bgcolor": "rgba(0,0,0,0)", "scene": {"annotations": [{"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "Y", "x": 0.0, "xanchor": "right", "xshift": -10, "y": 0.0, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "Mn", "x": 0.0, "xanchor": "right", "xshift": -10, "y": 1.0, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "O", "x": 0.8660254037844386, "xanchor": "right", "xshift": -10, "y": 0.5, "yanchor": "auto", "yshift": -10, "z": -2.583678301135969}, {"opacity": 0, "text": "", "x": 1, "y": 1, "z": 0}], "aspectratio": {"x": 1.7, "y": 1.7, "z": 1.2}, "camera": {"center": {"x": -0.1, "y": 0, "z": -0.15}, "eye": {"x": -0.1, "y": 0, "z": 2.5}, "projection": {"type": "orthographic"}}, "xaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}, "yaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}, "zaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}}, "showlegend": true, "template": {"data": {"bar": [{"error_x": {"color": "#2a3f5f"}, "error_y": {"color": "#2a3f5f"}, "marker": {"line": {"color": "#E5ECF6", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "#E5ECF6", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "baxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('88a66b7d-a7e6-4828-b527-178f58387ba1'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); (mp-1355)
0.096 eV/atom (+0.098 eV/atom)"], "marker": {"color": [0.012, 0.001, 0.03, 0.124, 0.002, 0.126, 0.018, 0.01, 0.145, 0.083, 0.053, 0.08, 0.005, 0.003, 0.03, 0.152, 0.006, 0.025, 0.172, 0.192, 0.014, 0.095, 0.097, 0.015, 0.168, 0.191, 0.03, 0.187, 0.187, 0.174, 0.077, 0.0, 0.059, 0.076, 0.05, 0.088, 0.17, 0.055, 0.186, 0.009, 0.093, 0.132, 0.044, 0.024, 0.004, 0.007, 0.182, 0.021, 0.134, 0.162, 0.093, 0.14, 0.172, 0.157, 0.051, 0.053, 0.09, 0.123, 0.048, 0.072, 0.063, 0.122, 0.098], "colorbar": {"len": 0.75, "title": {"text": "Energy Above Hull
(eV/atom)"}, "x": 0.05}, "colorscale": [[0.0, "#fad393"], [0.5, "#ff813d"], [1.0, "#ff0000"]], "size": 6, "symbol": "diamond"}, "mode": "markers", "name": "Above Hull", "showlegend": true, "type": "scatter3d", "x": [0.8660254037844386, 0.8660254037844386, 0.8660254037844386, 0.8660254037844386, 0.8660254037844386, 0.8660254037844386, 0.8660254037844386, 0.8660254037844386, 0.0, 0.0, 0.0, 0.4330127018922193, 0.4330127018922193, 0.4330127018922193, 0.5773502691896257, 0.5773502691896257, 0.5773502691896257, 0.5773502691896257, 0.5773502691896257, 0.5773502691896257, 0.5773502691896257, 0.5773502691896257, 0.5773502691896257, 0.5773502691896257, 0.5773502691896257, 0.5773502691896257, 0.5773502691896257, 0.5773502691896257, 0.5773502691896257, 0.5773502691896257, 0.5196152422706631, 0.5196152422706631, 0.5196152422706631, 0.5196152422706631, 0.5196152422706631, 0.5196152422706631, 0.6735753140545634, 0.49487165930539345, 0.49487165930539345, 0.532938710021193, 0.5888972745734183, 0.5910967041703311, 0.5678855106783204, 0.0, 0.0, 0.0, 0.5773502691896257, 0.5196152422706631, 0.0, 0.0, 0.49487165930539345, 0.49487165930539345, 0.49487165930539345, 0.5196152422706631, 0.5196152422706631, 0.5196152422706631, 0.5196152422706631, 0.5196152422706631, 0.5196152422706631, 0.5196152422706631, 0.5196152422706631, 0.5567306167185677, 0.0], "y": [0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 1.0, 1.0, 1.0, 0.75, 0.75, 0.75, 0.6666666666666666, 0.6666666666666666, 0.6666666666666666, 0.6666666666666666, 0.6666666666666666, 0.6666666666666666, 0.6666666666666666, 0.6666666666666666, 0.6666666666666666, 0.6666666666666666, 0.6666666666666666, 0.6666666666666666, 0.6666666666666666, 0.6666666666666666, 0.6666666666666666, 0.6666666666666666, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.6111111111111112, 0.7142857142857142, 0.7142857142857142, 0.6923076923076923, 0.66, 0.6587301587301587, 0.6721311475409836, 0.0, 0.0, 0.0, 0.3333333333333333, 0.5, 0.6666666666666666, 0.6666666666666666, 0.5714285714285714, 0.5714285714285714, 0.5714285714285714, 0.6, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.5357142857142857, 0.7931034482758621], "z": [0.012, 0.001, 0.03, 0.124, 0.002, 0.126, 0.018, 0.01, 0.145, 0.083, 0.053, -1.899, -1.974, -1.976, -1.776, -1.654, -1.799, -1.78, -1.634, -1.614, -1.792, -1.711, -1.709, -1.791, -1.638, -1.615, -1.776, -1.619, -1.619, -1.632, -1.937, -2.014, -1.955, -1.938, -1.964, -1.926, -1.034, -1.995, -1.864, -1.957, -1.641, -1.588, -1.796, 0.024, 0.004, 0.007, -3.127, -3.015, 0.133, 0.161, -2.641, -2.594, -2.562, -2.375, -3.919, -3.918, -3.881, -3.848, -3.923, -3.899, -3.908, -2.526, 0.096]}, {"error_z": {"array": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "color": "darkgray", "thickness": 5, "type": "data", "width": 10}, "hoverinfo": "text", "hoverlabel": {"font": {"size": 14}}, "hovertext": ["Y26"], [1.0, "#f0f921"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('88a66b7d-a7e6-4828-b527-178f58387ba1'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); O3f0f921"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('88a66b7d-a7e6-4828-b527-178f58387ba1'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); (mp-2652)
-3.971 eV/atom", "O2"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('88a66b7d-a7e6-4828-b527-178f58387ba1'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); (mp-12957)
0.0 eV/atom", "YMn2colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('88a66b7d-a7e6-4828-b527-178f58387ba1'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); O5[[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('88a66b7d-a7e6-4828-b527-178f58387ba1'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); (mp-510598)
-2.639 eV/atom", "Y2], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('88a66b7d-a7e6-4828-b527-178f58387ba1'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); Mn222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('88a66b7d-a7e6-4828-b527-178f58387ba1'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); O7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('88a66b7d-a7e6-4828-b527-178f58387ba1'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); (mp-18831)
-2.878 eV/atom", "Mn2444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('88a66b7d-a7e6-4828-b527-178f58387ba1'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); O3 "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('88a66b7d-a7e6-4828-b527-178f58387ba1'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); (mp-1172875)
-2.014 eV/atom", "YMn16666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('88a66b7d-a7e6-4828-b527-178f58387ba1'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); 26, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('88a66b7d-a7e6-4828-b527-178f58387ba1'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); (mp-22508)
-0.001 eV/atom", "Mn (mp-35)
0.0 eV/atom", "YMnO31.0, "#f0f921"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('88a66b7d-a7e6-4828-b527-178f58387ba1'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); (mp-19385)
-3.036 eV/atom", "MnO2m": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('88a66b7d-a7e6-4828-b527-178f58387ba1'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); (mp-19395)
-1.806 eV/atom", "Y (mp-1187739)
0.0 eV/atom", "Mn3], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('88a66b7d-a7e6-4828-b527-178f58387ba1'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); O42d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('88a66b7d-a7e6-4828-b527-178f58387ba1'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); (mp-18759)
-2.05 eV/atom", "MnO (mp-19006)
-1.979 eV/atom"], "marker": {"color": "black", "line": {"color": "black", "width": 3}, "opacity": 0.8, "size": 12}, "mode": "markers", "name": "Stable", "showlegend": true, "type": "scatter3d", "x": [0.5196152422706631, 0.8660254037844386, 0.5412658773652741, 0.5511070751355518, 0.5196152422706631, 0.0, 0.0, 0.5196152422706631, 0.5773502691896257, 0.0, 0.49487165930539345, 0.4330127018922193], "y": [0.3, 0.5, 0.5625, 0.5, 0.7, 0.9230769230769231, 1.0, 0.5, 0.6666666666666666, 0.0, 0.7142857142857142, 0.75], "z": [-3.971, 0.0, -2.639, -2.878, -2.014, -0.001, 0.0, -3.036, -1.806, 0.0, -2.05, -1.979]}], {"autosize": true, "height": 700, "hovermode": "closest", "legend": {"orientation": "h", "traceorder": "reversed", "x": 0.5, "xanchor": "center", "y": 0.0, "yanchor": "top"}, "margin": {"b": 10, "l": 0, "pad": 0, "r": 0, "t": 0}, "paper_bgcolor": "rgba(0,0,0,0)", "plot_bgcolor": "rgba(0,0,0,0)", "scene": {"annotations": [{"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "O", "x": 0.8660254037844386, "xanchor": "right", "xshift": -10, "y": 0.5, "yanchor": "auto", "yshift": -10, "z": -3.5738280696750007}, {"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "Mn", "x": 0.0, "xanchor": "right", "xshift": -10, "y": 1.0, "yanchor": "auto", "yshift": -10, "z": -3.5738280696750007}, {"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "Y", "x": 0.0, "xanchor": "right", "xshift": -10, "y": 0.0, "yanchor": "auto", "yshift": -10, "z": -3.5738280696750007}, {"opacity": 0, "text": "", "x": 1, "y": 1, "z": 0}], "aspectratio": {"x": 1.7, "y": 1.7, "z": 1.2}, "camera": {"center": {"x": -0.1, "y": 0, "z": -0.15}, "eye": {"x": -0.1, "y": 0, "z": 2.5}, "projection": {"type": "orthographic"}}, "xaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}, "yaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}, "zaxis": {"autorange": true, "showaxeslabels": false, "showgrid": false, "showline": false, "showspikes": false, "showticklabels": false, "ticks": "", "visible": false, "zeroline": false}}, "showlegend": true, "template": {"data": {"bar": [{"error_x": {"color": "#2a3f5f"}, "error_y": {"color": "#2a3f5f"}, "marker": {"line": {"color": "#E5ECF6", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "#E5ECF6", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "baxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('94cd1620-8953-41e6-b99a-f403801245ec'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); >

var gd = document.getElementById('88a66b7d-a7e6-4828-b527-178f58387ba1'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }});

// Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }}

// Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }}

                    })                };                });            </script>

The default backend for plotting phase diagrams is plotly, however, you can also specify matplotlib:

plotter = PDPlotter(pd, backend="matplotlib")
plotter.get_plot(label_unstable=False).show()

From the phase diagram, we see that there are three ternary oxides within the system: YMnO\(_3\), YMn\(_2\)O\(_5\), and Y\(_2\)Mn\(_2\)O\(_7\).

Let's look at formation energy data in a pandas DataFrame. As before, let's first create a helper function to wrangle the data into the correct format:

def get_df_from_pd(pd):
    ents = pd.stable_entries

    formulas = [e.composition.reduced_formula for e in ents]
    form_energies = [pd.get_form_energy_per_atom(e) for e in ents]
    decomp_enthalpies = [pd.get_phase_separation_energy(e) for e in ents]

    data = {"formula": formulas, "form_energy (eV/atom)": form_energies, "decomp_enthalpy (eV/atom)": decomp_enthalpies}

    df = pandas.DataFrame(data).sort_values("form_energy (eV/atom)").reset_index(drop=True)

    return df

We then call this function to get the data frame:

get_df_from_pd(pd)
="cell border-box-sizing code_cell rendered" markdown="1"> formula"> form_energy (eV/atom)div class="cell border-box-sizing text_cell rendered" markdown="1"> decomp_enthalpy (eV/atom)lass="cell border-box-sizing text_cell rendered" markdown="1"> iv> div>
0"cell border-box-sizing text_cell rendered" markdown="1"> Y2O3ner_cell" markdown="1"> -3.970920ll_render border-box-sizing rendered_html" markdown="1"> -0.856833the grand potential phase diagram and plot it: v>
1 class="cell border-box-sizing code_cell rendered" markdown="1"> YMnO3l border-box-sizing code_cell rendered" markdown="1"> -3.036007
gpd = GrandPotentialPhaseDiagram(gibbs_entries, {open_elem: chempot})
gpd.get_plot()
-0.029013v> hzdk:36
2v class="output_wrapper" markdown="1"> Y2Mn2O7ut_wrapper" markdown="1"> -2.877818wrapper" markdown="1"> -0.056013 markdown="1"> v class="output_area" markdown="1">
3="output_html rendered_html output_subarea "> YMn2O5ut_html rendered_html output_subarea "> -2.639070
-0.031220getElementById('07d55a84-32aa-4268-8459-e2eba393e10a'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); gd = document.getElementById('07d55a84-32aa-4268-8459-e2eba393e10a'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; });
4 display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); Mn3O4splay || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); -2.050443.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); -0.046443purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; });
5sten for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); Mn2O3the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); -2.013920emoval of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); -0.024500er = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; });
6en for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); MnOr the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); -1.979201learing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); -0.185063losest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; });
7 }) }; }); MnO2 }) }; }); -1.805830 }) }; }); -0.066579iv> iv>
8iv> YMn12 -0.001407 class="cell border-box-sizing text_cell rendered" markdown="1"> -0.001407"cell border-box-sizing text_cell rendered" markdown="1"> v>
9"inner_cell" markdown="1"> Y"text_cell_render border-box-sizing rendered_html" markdown="1"> 0.000000ential phase diagram above, we see that only YMn$_2$O$_5$ and Y$_2$Mn$_2$O$_7$ are stable at a relative oxygen chemical potential of 0 eV at T = 1000 K. This corresponds to flowing (open) oxygen gas at the standard state of pressure of 0.1 MPa (close to 1 atm). Note that the phase diagram above corresponds to a binary system, since we have removed a degree of freedom by fixing the oxygen chemical potential to a specific value. 0.000000se diagram above corresponds to a binary system, since we have removed a degree of freedom by fixing the oxygen chemical potential to a specific value. that the phase diagram above corresponds to a binary system, since we have removed a degree of freedom by fixing the oxygen chemical potential to a specific value.
10> O2class="cell border-box-sizing text_cell rendered" markdown="1"> 0.000000order-box-sizing text_cell rendered" markdown="1"> 0.000000cell" markdown="1"> class="text_cell_render border-box-sizing rendered_html" markdown="1">
11he partial pressure of oxygen (at T = 1000 K) where YMnO$_3$ becomes stable. **Hint:** *Determine the chemical potential of oxygen from manual phase diagram construction and use the following formula to solve for the pressure:* $$ \mu - \mu^0 = k_b T \ln{\frac{p}{p_0}} $$ Mne partial pressure of oxygen (at T = 1000 K) where YMnO$_3$ becomes stable. **Hint:** *Determine the chemical potential of oxygen from manual phase diagram construction and use the following formula to solve for the pressure:* $$ \mu - \mu^0 = k_b T \ln{\frac{p}{p_0}} $$ 0.000000ine the chemical potential of oxygen from manual phase diagram construction and use the following formula to solve for the pressure:* $$ \mu - \mu^0 = k_b T \ln{\frac{p}{p_0}} $$ 0.000000ne the chemical potential of oxygen from manual phase diagram construction and use the following formula to solve for the pressure:* $$ \mu - \mu^0 = k_b T \ln{\frac{p}{p_0}} $$ \mu - \mu^0 = k_b T \ln{\frac{p}{p_0}} $$ \mu - \mu^0 = k_b T \ln{\frac{p}{p_0}} $$

While YMnO\(_3\) has one of the lowest formation energies within the Y-Mn-O system, it's decomposition enthalpy (i.e., energy "below" hull) is not very negative compared to the other phases in the system. This suggests that it has a low relative stability compared to the neighboring phases.

This is largely due to the fact that Y\(_2\)O\(_3\) is a massive thermodynamic sink -- it has both the most negative formation energy and the most negative decomposition enthalpy. This can be confirmed by looking at the green color-shading on the ternary phase diagram.

2.3 Compound phase diagrams for plotting subsets of the convex hull

The previous analysis partially explains why synthesis routes to YMnO\(_3\) from the starting binary oxides (i.e. Y\(_2\)O\(_3\) and Mn\(_2\)O\(_3\)) require such high temperatures to proceed. We can take a slice of the hull with the CompoundPhaseDiagram to visualize this more clearly. First, let's import the module:

from pymatgen.analysis.phase_diagram import CompoundPhaseDiagram

Before we can make the compound phase diagram, we have to specify the terminal compositions as Composition objects within pymatgen:

from pymatgen.core.composition import Composition
terminal_comps = [Composition("Y2O3"), Composition("Mn2O3")]

Now we can initialize the compound phase diagram object and plot it:

cpd = CompoundPhaseDiagram(entries, terminal_comps)
PDPlotter(cpd).get_plot()

An important note: the reaction energy associated with the ComputedReaction object is eV per mole of reaction (i.e. per mole of YMnO\(_3\)):

rxn_energy = rxn.calculated_reaction_energy
print(rxn_energy)
-0.21793684385416157

However, if we calculate the number of atoms in the reaction we can normalize this to a reaction energy per atom basis:

num_atoms = sum([rxn.get_el_amount(elem) for elem in rxn.elements])
rxn_energy_per_atom = rxn_energy / num_atoms

print(round(rxn_energy_per_atom, 3))
-0.044
At the interfaces where the powder crystallites touch, if the free energy of the system can be decreased by forming a new phase or set of phases, the new phase(s) will nucleate and grow.

We can predict the possible reactions between the interface of any two phases by drawing a line (see the red dashed line below) connecting the two phases on the phase diagram. A reaction is given by each point where the connecting line intersects the phase diagram points/lines. 

In the hypothetical system below, there are two predicted reactions given by the yellow star and green circle -- in this case **the reaction to form $\gamma$ (green circle) is the most thermodynamically favorable** because it involves the greatest decrease in free energy. However, the reaction given by the yellow star is still favorable and may occur at higher temperatures / later times.

And now we see that the -0.044 eV/atom reaction energy matches with the result from the CompoundPhaseDiagram interface.

Note that the CompoundPhaseDiagram is also useful for plotting subsections of the convex hull:

comps = [Composition(c) for c in ["Y2O3", "Mn2O3", "Y2Mn2O7"]]

example_cpd = CompoundPhaseDiagram(entries, comps)
PDPlotter(example_cpd).get_plot()
(no ID)
0.143 eV/atom (+0.143 eV/atom)", "MnO2idget-view+json"> (no ID)
0.162 eV/atom (+0.162 eV/atom)", "MnO2c", "version_major": 2, "version_minor": 0} (no ID)
0.053 eV/atom (+0.053 eV/atom)", "Mn2
O3> (no ID)
0.153 eV/atom (+0.153 eV/atom)", "Mn2rendered" markdown="1">O3kdown="1"> (no ID)
0.154 eV/atom (+0.154 eV/atom)", "Mn2ext_cell_render border-box-sizing rendered_html" markdown="1">O3er border-box-sizing rendered_html" markdown="1"> (no ID)
0.17 eV/atom (+0.17 eV/atom)", "Mn5 let's look at these in a DataFrame by using a helper method:
O8t these in a DataFrame by using a helper method:
(no ID)
0.189 eV/atom (+0.189 eV/atom)", "Y2>O3 class="cell border-box-sizing code_cell rendered" markdown="1"> (no ID)
0.139 eV/atom (+0.139 eV/atom)", "Y21">O3s="input"> (no ID)
0.157 eV/atom (+0.157 eV/atom)", "Y2der-box-sizing code_cell rendered" markdown="1">O3g code_cell rendered" markdown="1"> (no ID)
0.153 eV/atom (+0.153 eV/atom)", "Y2hzdk:52
O3iv> (no ID)
0.175 eV/atom (+0.175 eV/atom)", "YMnO3t" markdown="1"> (no ID)
-0.051 eV/atom (+0.137 eV/atom)", "YMnO3ass="output_html rendered_html output_subarea output_execute_result"> (no ID)
-0.013 eV/atom (+0.174 eV/atom)", "YMnO3lt"> (no ID)
-0.102 eV/atom (+0.086 eV/atom)"], "marker": {"color": [0.062, 0.056, 0.148, 0.143, 0.162, 0.053, 0.153, 0.154, 0.17, 0.189, 0.139, 0.157, 0.153, 0.175, 0.137, 0.174, 0.086], "colorscale": [[0.0, "#fad393"], [0.5, "#ff813d"], [1.0, "#ff0000"]], "size": 6, "symbol": "diamond"}, "mode": "markers", "name": "Above Hull", "showlegend": true, "type": "scatter", "x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 1.0, 1.0, 0.5, 0.5, 0.5], "y": [0.06223409118525858, 0.055561615629150296, 0.14833155216471905, 0.1433712401868963, 0.16164928890570884, 0.05348781461188867, 0.15310504044944073, 0.1537806154241248, 0.16996561476060412, 0.18929977492479325, 0.1386944255174356, 0.15666082269634293, 0.15334858999090292, 0.17470772398972656, -0.05050164655535827, -0.013401918050925055, -0.1016229133880439]}, {"error_y": {"array": [0, 0, 0, 0], "color": "gray", "thickness": 2.5, "type": "data", "width": 5}, "hoverinfo": "text", "hoverlabel": {"font": {"size": 14}}, "hovertext": ["Y2 Mn254747O7 (no ID)
-0.187 eV/atom", "YMn2h>O5 (no ID)
-0.19 eV/atom", "MnO204167 Y2O3 (no ID)
0.0 eV/atom", "Y2 O37648 (no ID)
0.0 eV/atom"], "marker": {"color": "darkgreen", "line": {"color": "black", "width": 2}, "size": 11}, "mode": "markers", "name": "Stable", "opacity": 0.9, "showlegend": true, "type": "scatter", "x": [0.5, 0.3333333333333333, 0.0, 1.0], "y": [-0.1873287707060758, -0.18950367667954282, 0.0, 0.0]}], {"annotations": [{"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "MnO2 ", "x": 0.0, "xanchor": "right", "xref": "x", "xshift": -10, "y": 0.0, "yanchor": "auto", "yref": "y", "yshift": -10}, {"align": "center", "font": {"color": "#000000", "size": 24.0}, "opacity": 1.0, "showarrow": false, "text": "Y2 O368154", "x": 1.0, "xanchor": "right", "xref": "x", "xshift": -10, "y": 0.0, "yanchor": "auto", "yref": "y", "yshift": -10}], "autosize": true, "height": 700, "hovermode": "closest", "legend": {"orientation": "h", "tracegroupgap": 7, "traceorder": "reversed", "x": 0, "xanchor": "left", "y": 1.05}, "margin": {"b": 20, "l": 10, "pad": 20, "r": 10, "t": 20}, "paper_bgcolor": "rgba(0,0,0,0)", "plot_bgcolor": "rgba(0,0,0,0)", "showlegend": true, "template": {"data": {"bar": [{"error_x": {"color": "#2a3f5f"}, "error_y": {"color": "#2a3f5f"}, "marker": {"line": {"color": "#E5ECF6", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "#E5ECF6", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "baxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}, "xaxis": {"anchor": "y", "gridcolor": "rgba(0,0,0,0.1)", "mirror": "ticks", "nticks": 8, "showgrid": true, "showline": true, "side": "bottom", "tickfont": {"size": 16.0}, "ticks": "inside", "title": {"font": {"color": "#000000", "size": 20.0}, "text": "Fraction"}, "type": "linear", "zeroline": false}, "yaxis": {"anchor": "x", "gridcolor": "rgba(0,0,0,0.1)", "mirror": "ticks", "showgrid": true, "showline": true, "side": "left", "tickfont": {"size": 16.0}, "ticks": "inside", "title": {"font": {"color": "#000000", "size": 20.0}, "text": "Formation energy (eV/atom)"}, "type": "linear"}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('07d55a84-32aa-4268-8459-e2eba393e10a'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); down="1">

From the grand potential phase diagram above, we see that only YMn\(_2\)O\(_5\) and Y\(_2\)Mn\(_2\)O\(_7\) are stable at a relative oxygen chemical potential of 0 eV at T = 1000 K. This corresponds to flowing (open) oxygen gas at the standard state of pressure of 0.1 MPa (close to 1 atm).

Note that the phase diagram above corresponds to a binary system, since we have removed a degree of freedom by fixing the oxygen chemical potential to a specific value.

2.5.2 EXERCISE: Determine oxygen stability window of YMnO\(_3\)

Determine the partial pressure of oxygen (at T = 1000 K) where YMnO\(_3\) becomes stable.

Hint: Determine the chemical potential of oxygen from manual phase diagram construction and use the following formula to solve for the pressure:

\[ \mu - \mu^0 = k_b T \ln{\frac{p}{p_0}} \]
from math import exp
k = 8.617e-5  # eV/K
T = 1000  # K

mu_O = -0.343  # found manually from phase diagram construction
mu_O2 = mu_O * 2  
pressure = 0.1*exp(mu_O2/(k*T))  # MPa
print(f"{round(pressure, 7)} MPa")
3.49e-05 MPa
def get_df_from_rxns(rxns):
    energies = [r.energy_per_atom for r in rxns]
    uncertainties = [r.energy_uncertainty_per_atom.s for r in rxns]
    chemsyses = [r.chemical_system for r in rxns]

    data = {"reaction": rxns, "energy": energies, "dE": uncertainties, "chemsys": chemsyses}

    return pandas.DataFrame(data).sort_values("energy").reset_index(drop=True)

This is quite a low O\(_2\) partial pressure. However, note that this value is extremely sensitive to small differences in calculated formation energies for the compounds.

Temperature is often an even more powerful driver for oxidizing/reducing conditions than pressure. In fact, at higher temperatures (T = 1400 K), YMnO\(_3\) is predicted to be stable even at the standard state (0.1 MPa) pressure.

2.5.3 Finding "critical" chemical potentials within pymatgen

As was hinted at above, all phases on the compositional phase diagram are stable within a certain region of chemical potentials. These do not need to be found manually as in the above exercise; instead, there are methods to solve for them algorithmically. In pymatgen, this can be found in the get_chempot_range_stability_phase() method. For YMnO\(_3\), we get:

pd_gibbs = PhaseDiagram(gibbs_entries)
pd_gibbs.get_chempot_range_stability_phase(Composition("YMnO3"), open_elt=Element("O"))
{Element Y: (-5.684675115489506, -8.05964229338205),
 Element Mn: (-1.117928945435541, -3.492896123328084),
 Element O: (-1.9261348812004861, -0.342823429272124)}>

Note that the upper bound value of chemical potential for oxygen matches what we found in the previous exercise (-0.343 eV).

2.6 Plotting predominance diagrams

The chemical potential ranges over which a phase is stable can be plotted in a new diagram, typically called a predominance diagram.

A predominance diagram can be created in pymatgen by calling get_chempot_range_map_plot() on a ternary phase diagram. Because one chemical potential is always dependent, we only need 2 dimensions to represent the chemical potential stability regions. Note: these form polygons, which are not necessarily rectangular.

Note: the -0.343 eV value where YMnO\(_3\) becomes stable is actually the tip of the narrow YMnO\(_3\) polygon!

plotter = PDPlotter(pd_gibbs)
plot = plotter.get_chempot_range_map_plot(elements=[Element("Y"), Element("O")])

plot.xlim(-9.7, -3) # changing plotting boundaries
plot.ylim(-4,0)

plot.show()

2.7 BONUS: Plotting chemical potential diagrams (adding one more dimension!)

It is often even more convenient to visualize all three dimensions within chemical potential space. For this, we can plot a chemical potential diagram. For now, this code only exists in the (separate) reaction-network package, but will be added soon to pymatgen.

from rxn_network.thermo.chempot_diagram import ChempotDiagram

To create the diagram, we first need to define some limits on the chemical potential ranges to plot:

limits={Element("Y"): (-10, 0),
        Element("Mn"): (-10, 0),
        Element("O"): (-7, 0)}

And then we can plot it similar to plotting a conventional phase diagram in pymatgen. Try interacting with the full 3D figure yourself!

cd = ChempotDiagram(pd_gibbs, limits=limits)
cd.get_plot()
O334049, -0.9878571202804521, -0.9872899029429585, -0.9763547740527354, -0.9752993437371588, -0.9730862995530939, -0.966133947329489, -0.9602591534601709, -0.9530097120055788, -0.9186826538783699, -0.8799079840841728, -0.8685338241181195, -0.8470913183167449, -0.8114562315941917, -0.7945562020195387, -0.7911435444757444, -0.789848836023374, -0.7832133998727533, -0.7789869995919191, -0.7698682492484907, -0.7611243616756599, -0.7513773746193134, -0.7466190036483783, -0.7429360761552188, -0.7245628823632008, -0.7220759849351598, -0.7147206698227438, -0.6530169121041588, -0.6503823787613954, -0.6463707803992377, -0.6432475254076767, -0.641959451536511, -0.6224799080556842, -0.61959992475183, -0.6195365293334537, -0.6104798348607998, -0.6086470916561867, -0.5878815952226052, -0.5710605532029679, -0.5583941274934692, -0.5402400539497964, -0.5394150094527203, -0.530279185725927, -0.5090480209069603, -0.4958464689043356, -0.49442768338169674, -0.49268817494548844, -0.482383666378441, -0.4692951646423313, -0.4605509881932589, -0.45263914484372436, -0.45057772972202004, -0.4439448902711589, -0.4272516540509306, -0.42163397569355854, -0.4195142964038215, -0.41290729195070763, -0.4101856911500031, -0.399462268097455, -0.39247389283820444, -0.3911219636767349, -0.3900334992727874, -0.385672843616656, -0.38293496146593364, -0.3718930524841081, -0.3677206458786336, -0.3628110582028559, -0.3593761709273384, -0.3566350104102197, -0.356170205829102, -0.35529219471809353, -0.35140758567474206, -0.3497355715237155, -0.3474814300401367, -0.34195360301042504, -0.34083186767529966, -0.334418100324323, -0.3326710328283608, -0.3312891283175204, -0.32190580559917364, -0.31914652786624165, -0.316099082953608, -0.3147664755809411, -0.3144195310139996, -0.3051051133144324, -0.3011905507168768, -0.3002462171517351, -0.2986838150763796, -0.29378225713841855, -0.29054742210792145, -0.287284893964309, -0.2821746088349758, -0.27157155434933256, -0.27046271907630254, -0.2682220737759482, -0.2666338448161429, -0.26648085291089235, -0.26227462824205905, -0.25687665053445413, -0.2566378578858469, -0.2545634965627493, -0.2539875720013527, -0.25327387127471757, -0.25095288130508125, -0.2502409971161638, -0.25006400239451454, -0.249304988059164, -0.24804499448879816, -0.2473955113981902, -0.24738671192335804, -0.24680591904880608, -0.2462235520321357, -0.24445116967069103, -0.2437097162296196, -0.24268662934988522, -0.23682873304115304, -0.227919961360513, -0.22589124118034648, -0.22510336644699075, -0.22217726615442768, -0.21979896660278606, -0.21943147649975464, -0.2180830858819882, -0.2144776693231931, -0.21129352229139492, -0.20221952495505774, -0.19836536657715442, -0.1951116558329767, -0.19026645430265854, -0.18936186444411152, -0.18877167811288575, -0.18858808907601282, -0.18745790819111308, -0.1870229232598624, -0.18538744733318926, -0.1841133931761701, -0.1820853136329261, -0.17968766648674928, -0.17923115749157517, -0.1789064693713693, -0.16484237519892356, -0.16362160546176235, -0.1623599728462332, -0.15904016844174224, -0.15590748209544605, -0.15206078652717814, -0.14994627459467522, -0.13956442742089903, -0.13913032628124702, -0.13664899103441613, -0.13557559051808213, -0.1287177577983344, -0.1283980995517496, -0.12222127569910947, -0.11814243739577031, -0.11740124763011342, -0.11489994619380098, -0.1142146560645211, -0.11275864429228995, -0.1096024368229068, -0.10484253542852598, -0.10452146091295247, -0.10273677306152332, -0.10243013596870491, -0.1016299041305034, -0.09072230658505422, -0.08982888089999409, -0.08560058212028274, -0.0848643069917153, -0.08369175384864268, -0.08254103942486529, -0.0814370240200953, -0.08088254740602863, -0.07719922449828796, -0.07696972582370185, -0.07649922529253576, -0.07631926080374948, -0.07434668265847695, -0.07304257991981707, -0.07127017344510522, -0.06811955298402693, -0.06641613561687439, -0.06377157172030697, -0.06332348524488077, -0.06309992497493132, -0.0629877321540442, -0.06195115343865365, -0.061742075751197965, -0.05907636522554885, -0.059037407838776625, -0.058040647831821376, -0.05704199366386662, -0.054925339757076995, -0.05454230595554818, -0.05251268305009913, -0.05103501348314575, -0.050224090011424076, -0.04792912666602962, -0.047737530079893, -0.04757497351690919, -0.04572491962828099, -0.04408802715571931, -0.04314733306814489, -0.04242183503907916, -0.04157649958180026, -0.041400329762652545, -0.03857708177549634, -0.038460369697261035, -0.036953786686562164, -0.036868388577507585, -0.03289180130231932, -0.032711155484437704, -0.032076783427077975, -0.031165766297465713, -0.028129552506168568, -0.02686967176644436, -0.025887391007694882, -0.025698362525092767, -0.024880809327579974, -0.024536889311244307, -0.023401317798101468, -0.022427646897401732, -0.021795541898906805, -0.01957696594515852, -0.01942105728798754, -0.0187653124401885, -0.018532459408548713, -0.017910210981486454, -0.014107741523398732, -0.013921051721290994, -0.013675330867087089, -0.011847985810513465, -0.010527198868418058, -0.009229392701099688, -0.008932129797219527, -0.007452914745133853, -0.0064338161231278935, -0.0038149466586508214, -0.002288334273327917, 0.002288334273327917, 0.0038149466586508214, 0.0064338161231278935, 0.007452914745133853, 0.008932129797219527, 0.009229392701099688, 0.010527198868418058, 0.011847985810513465, 0.013675330867087089, 0.013921051721290994, 0.014107741523398732, 0.017910210981486454, 0.018532459408548713, 0.0187653124401885, 0.01942105728798754, 0.01957696594515852, 0.021795541898906805, 0.022427646897401732, 0.023401317798101468, 0.024536889311244307, 0.024880809327579974, 0.025698362525092767, 0.025887391007694882, 0.02686967176644436, 0.028129552506168568, 0.031165766297465713, 0.032076783427077975, 0.032711155484437704, 0.03289180130231932, 0.036868388577507585, 0.036953786686562164, 0.038460369697261035, 0.03857708177549634, 0.041400329762652545, 0.04157649958180026, 0.04242183503907916, 0.04314733306814489, 0.04408802715571931, 0.04572491962828099, 0.04757497351690919, 0.047737530079893, 0.04792912666602962, 0.050224090011424076, 0.05103501348314575, 0.05251268305009913, 0.05454230595554818, 0.054925339757076995, 0.05704199366386662, 0.058040647831821376, 0.059037407838776625, 0.05907636522554885, 0.061742075751197965, 0.06195115343865365, 0.0629877321540442, 0.06309992497493132, 0.06332348524488077, 0.06377157172030697, 0.06641613561687439, 0.06811955298402693, 0.07127017344510522, 0.07304257991981707, 0.07434668265847695, 0.07631926080374948, 0.07649922529253576, 0.07696972582370185, 0.07719922449828796, 0.08088254740602863, 0.0814370240200953, 0.08254103942486529, 0.08369175384864268, 0.0848643069917153, 0.08560058212028274, 0.08982888089999409, 0.09072230658505422, 0.1016299041305034, 0.10243013596870491, 0.10273677306152332, 0.10452146091295247, 0.10484253542852598, 0.1096024368229068, 0.11275864429228995, 0.1142146560645211, 0.11489994619380098, 0.11740124763011342, 0.11814243739577031, 0.12222127569910947, 0.1283980995517496, 0.1287177577983344, 0.13557559051808213, 0.13664899103441613, 0.13913032628124702, 0.13956442742089903, 0.14994627459467522, 0.15206078652717814, 0.15590748209544605, 0.15904016844174224, 0.1623599728462332, 0.16362160546176235, 0.16484237519892356, 0.1789064693713693, 0.17923115749157517, 0.17968766648674928, 0.1820853136329261, 0.1841133931761701, 0.18538744733318926, 0.1870229232598624, 0.18745790819111308, 0.18858808907601282, 0.18877167811288575, 0.18936186444411152, 0.19026645430265854, 0.1951116558329767, 0.19836536657715442, 0.20221952495505774, 0.21129352229139492, 0.2144776693231931, 0.2180830858819882, 0.21943147649975464, 0.21979896660278606, 0.22217726615442768, 0.22510336644699075, 0.22589124118034648, 0.227919961360513, 0.23682873304115304, 0.24268662934988522, 0.2437097162296196, 0.24445116967069103, 0.2462235520321357, 0.24680591904880608, 0.24738671192335804, 0.2473955113981902, 0.24804499448879816, 0.249304988059164, 0.25006400239451454, 0.2502409971161638, 0.25095288130508125, 0.25327387127471757, 0.2539875720013527, 0.2545634965627493, 0.2566378578858469, 0.25687665053445413, 0.26227462824205905, 0.26648085291089235, 0.2666338448161429, 0.2682220737759482, 0.27046271907630254, 0.27157155434933256, 0.2821746088349758, 0.287284893964309, 0.29054742210792145, 0.29378225713841855, 0.2986838150763796, 0.3002462171517351, 0.3011905507168768, 0.3051051133144324, 0.3144195310139996, 0.3147664755809411, 0.316099082953608, 0.31914652786624165, 0.32190580559917364, 0.3312891283175204, 0.3326710328283608, 0.334418100324323, 0.34083186767529966, 0.34195360301042504, 0.3474814300401367, 0.3497355715237155, 0.35140758567474206, 0.35529219471809353, 0.356170205829102, 0.3566350104102197, 0.3593761709273384, 0.3628110582028559, 0.3677206458786336, 0.3718930524841081, 0.38293496146593364, 0.385672843616656, 0.3900334992727874, 0.3911219636767349, 0.39247389283820444, 0.399462268097455, 0.4101856911500031, 0.41290729195070763, 0.4195142964038215, 0.42163397569355854, 0.4272516540509306, 0.4439448902711589, 0.45057772972202004, 0.45263914484372436, 0.4605509881932589, 0.4692951646423313, 0.482383666378441, 0.49268817494548844, 0.49442768338169674, 0.4958464689043356, 0.5090480209069603, 0.530279185725927, 0.5394150094527203, 0.5402400539497964, 0.5583941274934692, 0.5710605532029679, 0.5878815952226052, 0.6086470916561867, 0.6104798348607998, 0.6195365293334537, 0.61959992475183, 0.6224799080556842, 0.641959451536511, 0.6432475254076767, 0.6463707803992377, 0.6503823787613954, 0.6530169121041588, 0.7147206698227438, 0.7220759849351598, 0.7245628823632008, 0.7429360761552188, 0.7466190036483783, 0.7513773746193134, 0.7611243616756599, 0.7698682492484907, 0.7789869995919191, 0.7832133998727533, 0.789848836023374, 0.7911435444757444, 0.7945562020195387, 0.8114562315941917, 0.8470913183167449, 0.8685338241181195, 0.8799079840841728, 0.9186826538783699, 0.9530097120055788, 0.9602591534601709, 0.966133947329489, 0.9730862995530939, 0.9752993437371588, 0.9763547740527354, 0.9872899029429585, 0.9878571202804521, 1.001945424334049, 1.0492664761534742, 1.0614576001728762, 1.1453288071774534, 1.2323521886205333, 1.241006972621295, 1.2500328261520415, 1.2679618134867274, 1.2800930763708003, 1.311916320417568, 1.3367030086269225, 1.3455103627286393, 1.3516157478209108, 1.3516627302825455, 1.3553937891765324, 1.3750409012538698, 1.390225255975148, 1.402678182817956, 1.4065991535084261, 1.407036582240258, 1.4077994769541982, 1.409693840427691, 1.4116054997924663, 1.4127371864873866, 1.4131447276760338, 1.4167679469522618, 1.4308987958691073, 1.4545450574386856, 1.456948016841024, 1.4591668645227942, 1.4603121600042968, 1.4695421365229804, 1.4760043892767285, 1.4779463752367874, 1.5084228002475104, 1.522031913318013, 1.5385122707768144, 1.5400389055534853, 1.5563052594896811, 1.601860924627827, 1.605437943963413, 1.610266090180204, 1.6148047455413437, 1.621230732248684, 1.6260240501812053, 1.6795464802035045, 1.7001150585041527, 1.7043006107763095, 1.7280190192015854, 1.7602964175215694, 3.4295509749160944], "xaxis": "x", "yaxis": "y"}], {"barmode": "relative", "legend": {"tracegroupgap": 0}, "margin": {"t": 60}, "template": {"data": {"bar": [{"error_x": {"color": "rgb(36,36,36)"}, "error_y": {"color": "rgb(36,36,36)"}, "marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "baxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "rgb(231,231,240)"}, "line": {"color": "white"}}, "header": {"fill": {"color": "rgb(183,183,191)"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "rgb(67,103,167)"}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "colorscale": {"sequential": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "sequentialminus": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]]}, "colorway": ["rgb(76,114,176)", "rgb(221,132,82)", "rgb(85,168,104)", "rgb(196,78,82)", "rgb(129,114,179)", "rgb(147,120,96)", "rgb(218,139,195)", "rgb(140,140,140)", "rgb(204,185,116)", "rgb(100,181,205)"], "font": {"color": "rgb(36,36,36)"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "rgb(234,234,242)", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "paper_bgcolor": "white", "plot_bgcolor": "rgb(234,234,242)", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "radialaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"fillcolor": "rgb(67,103,167)", "line": {"width": 0}, "opacity": 0.5}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "caxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}}}, "xaxis": {"anchor": "y", "domain": [0.0, 1.0], "title": {"text": "energy"}}, "yaxis": {"anchor": "x", "domain": [0.0, 1.0], "title": {"text": "count"}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('da5166ce-cff5-47c7-b6eb-054b9beac6a9'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); ", "x": -9.28496850118031, "xanchor": "center", "y": -2.9917842406103996, "yanchor": "auto", "z": -0.4393307729335611}, {"align": "center", "font": {"color": "black", "size": 16.0}, "opacity": 0.7, "showarrow": false, "text": "YMn170913183167449, -0.8114562315941917, -0.7945562020195387, -0.7911435444757444, -0.789848836023374, -0.7832133998727533, -0.7789869995919191, -0.7698682492484907, -0.7611243616756599, -0.7513773746193134, -0.7466190036483783, -0.7429360761552188, -0.7245628823632008, -0.7220759849351598, -0.7147206698227438, -0.6530169121041588, -0.6503823787613954, -0.6463707803992377, -0.6432475254076767, -0.641959451536511, -0.6224799080556842, -0.61959992475183, -0.6195365293334537, -0.6104798348607998, -0.6086470916561867, -0.5878815952226052, -0.5710605532029679, -0.5583941274934692, -0.5402400539497964, -0.5394150094527203, -0.530279185725927, -0.5090480209069603, -0.4958464689043356, -0.49442768338169674, -0.49268817494548844, -0.482383666378441, -0.4692951646423313, -0.4605509881932589, -0.45263914484372436, -0.45057772972202004, -0.4439448902711589, -0.4272516540509306, -0.42163397569355854, -0.4195142964038215, -0.41290729195070763, -0.4101856911500031, -0.399462268097455, -0.39247389283820444, -0.3911219636767349, -0.3900334992727874, -0.385672843616656, -0.38293496146593364, -0.3718930524841081, -0.3677206458786336, -0.3628110582028559, -0.3593761709273384, -0.3566350104102197, -0.356170205829102, -0.35529219471809353, -0.35140758567474206, -0.3497355715237155, -0.3474814300401367, -0.34195360301042504, -0.34083186767529966, -0.334418100324323, -0.3326710328283608, -0.3312891283175204, -0.32190580559917364, -0.31914652786624165, -0.316099082953608, -0.3147664755809411, -0.3144195310139996, -0.3051051133144324, -0.3011905507168768, -0.3002462171517351, -0.2986838150763796, -0.29378225713841855, -0.29054742210792145, -0.287284893964309, -0.2821746088349758, -0.27157155434933256, -0.27046271907630254, -0.2682220737759482, -0.2666338448161429, -0.26648085291089235, -0.26227462824205905, -0.25687665053445413, -0.2566378578858469, -0.2545634965627493, -0.2539875720013527, -0.25327387127471757, -0.25095288130508125, -0.2502409971161638, -0.25006400239451454, -0.249304988059164, -0.24804499448879816, -0.2473955113981902, -0.24738671192335804, -0.24680591904880608, -0.2462235520321357, -0.24445116967069103, -0.2437097162296196, -0.24268662934988522, -0.23682873304115304, -0.227919961360513, -0.22589124118034648, -0.22510336644699075, -0.22217726615442768, -0.21979896660278606, -0.21943147649975464, -0.2180830858819882, -0.2144776693231931, -0.21129352229139492, -0.20221952495505774, -0.19836536657715442, -0.1951116558329767, -0.19026645430265854, -0.18936186444411152, -0.18877167811288575, -0.18858808907601282, -0.18745790819111308, -0.1870229232598624, -0.18538744733318926, -0.1841133931761701, -0.1820853136329261, -0.17968766648674928, -0.17923115749157517, -0.1789064693713693, -0.16484237519892356, -0.16362160546176235, -0.1623599728462332, -0.15904016844174224, -0.15590748209544605, -0.15206078652717814, -0.14994627459467522, -0.13956442742089903, -0.13913032628124702, -0.13664899103441613, -0.13557559051808213, -0.1287177577983344, -0.1283980995517496, -0.12222127569910947, -0.11814243739577031, -0.11740124763011342, -0.11489994619380098, -0.1142146560645211, -0.11275864429228995, -0.1096024368229068, -0.10484253542852598, -0.10452146091295247, -0.10273677306152332, -0.10243013596870491, -0.1016299041305034, -0.09072230658505422, -0.08982888089999409, -0.08560058212028274, -0.0848643069917153, -0.08369175384864268, -0.08254103942486529, -0.0814370240200953, -0.08088254740602863, -0.07719922449828796, -0.07696972582370185, -0.07649922529253576, -0.07631926080374948, -0.07434668265847695, -0.07304257991981707, -0.07127017344510522, -0.06811955298402693, -0.06641613561687439, -0.06377157172030697, -0.06332348524488077, -0.06309992497493132, -0.0629877321540442, -0.06195115343865365, -0.061742075751197965, -0.05907636522554885, -0.059037407838776625, -0.058040647831821376, -0.05704199366386662, -0.054925339757076995, -0.05454230595554818, -0.05251268305009913, -0.05103501348314575, -0.050224090011424076, -0.04792912666602962, -0.047737530079893, -0.04757497351690919, -0.04572491962828099, -0.04408802715571931, -0.04314733306814489, -0.04242183503907916, -0.04157649958180026, -0.041400329762652545, -0.03857708177549634, -0.038460369697261035, -0.036953786686562164, -0.036868388577507585, -0.03289180130231932, -0.032711155484437704, -0.032076783427077975, -0.031165766297465713, -0.028129552506168568, -0.02686967176644436, -0.025887391007694882, -0.025698362525092767, -0.024880809327579974, -0.024536889311244307, -0.023401317798101468, -0.022427646897401732, -0.021795541898906805, -0.01957696594515852, -0.01942105728798754, -0.0187653124401885, -0.018532459408548713, -0.017910210981486454, -0.014107741523398732, -0.013921051721290994, -0.013675330867087089, -0.011847985810513465, -0.010527198868418058, -0.009229392701099688, -0.008932129797219527, -0.007452914745133853, -0.0064338161231278935, -0.0038149466586508214, -0.002288334273327917, 0.002288334273327917, 0.0038149466586508214, 0.0064338161231278935, 0.007452914745133853, 0.008932129797219527, 0.009229392701099688, 0.010527198868418058, 0.011847985810513465, 0.013675330867087089, 0.013921051721290994, 0.014107741523398732, 0.017910210981486454, 0.018532459408548713, 0.0187653124401885, 0.01942105728798754, 0.01957696594515852, 0.021795541898906805, 0.022427646897401732, 0.023401317798101468, 0.024536889311244307, 0.024880809327579974, 0.025698362525092767, 0.025887391007694882, 0.02686967176644436, 0.028129552506168568, 0.031165766297465713, 0.032076783427077975, 0.032711155484437704, 0.03289180130231932, 0.036868388577507585, 0.036953786686562164, 0.038460369697261035, 0.03857708177549634, 0.041400329762652545, 0.04157649958180026, 0.04242183503907916, 0.04314733306814489, 0.04408802715571931, 0.04572491962828099, 0.04757497351690919, 0.047737530079893, 0.04792912666602962, 0.050224090011424076, 0.05103501348314575, 0.05251268305009913, 0.05454230595554818, 0.054925339757076995, 0.05704199366386662, 0.058040647831821376, 0.059037407838776625, 0.05907636522554885, 0.061742075751197965, 0.06195115343865365, 0.0629877321540442, 0.06309992497493132, 0.06332348524488077, 0.06377157172030697, 0.06641613561687439, 0.06811955298402693, 0.07127017344510522, 0.07304257991981707, 0.07434668265847695, 0.07631926080374948, 0.07649922529253576, 0.07696972582370185, 0.07719922449828796, 0.08088254740602863, 0.0814370240200953, 0.08254103942486529, 0.08369175384864268, 0.0848643069917153, 0.08560058212028274, 0.08982888089999409, 0.09072230658505422, 0.1016299041305034, 0.10243013596870491, 0.10273677306152332, 0.10452146091295247, 0.10484253542852598, 0.1096024368229068, 0.11275864429228995, 0.1142146560645211, 0.11489994619380098, 0.11740124763011342, 0.11814243739577031, 0.12222127569910947, 0.1283980995517496, 0.1287177577983344, 0.13557559051808213, 0.13664899103441613, 0.13913032628124702, 0.13956442742089903, 0.14994627459467522, 0.15206078652717814, 0.15590748209544605, 0.15904016844174224, 0.1623599728462332, 0.16362160546176235, 0.16484237519892356, 0.1789064693713693, 0.17923115749157517, 0.17968766648674928, 0.1820853136329261, 0.1841133931761701, 0.18538744733318926, 0.1870229232598624, 0.18745790819111308, 0.18858808907601282, 0.18877167811288575, 0.18936186444411152, 0.19026645430265854, 0.1951116558329767, 0.19836536657715442, 0.20221952495505774, 0.21129352229139492, 0.2144776693231931, 0.2180830858819882, 0.21943147649975464, 0.21979896660278606, 0.22217726615442768, 0.22510336644699075, 0.22589124118034648, 0.227919961360513, 0.23682873304115304, 0.24268662934988522, 0.2437097162296196, 0.24445116967069103, 0.2462235520321357, 0.24680591904880608, 0.24738671192335804, 0.2473955113981902, 0.24804499448879816, 0.249304988059164, 0.25006400239451454, 0.2502409971161638, 0.25095288130508125, 0.25327387127471757, 0.2539875720013527, 0.2545634965627493, 0.2566378578858469, 0.25687665053445413, 0.26227462824205905, 0.26648085291089235, 0.2666338448161429, 0.2682220737759482, 0.27046271907630254, 0.27157155434933256, 0.2821746088349758, 0.287284893964309, 0.29054742210792145, 0.29378225713841855, 0.2986838150763796, 0.3002462171517351, 0.3011905507168768, 0.3051051133144324, 0.3144195310139996, 0.3147664755809411, 0.316099082953608, 0.31914652786624165, 0.32190580559917364, 0.3312891283175204, 0.3326710328283608, 0.334418100324323, 0.34083186767529966, 0.34195360301042504, 0.3474814300401367, 0.3497355715237155, 0.35140758567474206, 0.35529219471809353, 0.356170205829102, 0.3566350104102197, 0.3593761709273384, 0.3628110582028559, 0.3677206458786336, 0.3718930524841081, 0.38293496146593364, 0.385672843616656, 0.3900334992727874, 0.3911219636767349, 0.39247389283820444, 0.399462268097455, 0.4101856911500031, 0.41290729195070763, 0.4195142964038215, 0.42163397569355854, 0.4272516540509306, 0.4439448902711589, 0.45057772972202004, 0.45263914484372436, 0.4605509881932589, 0.4692951646423313, 0.482383666378441, 0.49268817494548844, 0.49442768338169674, 0.4958464689043356, 0.5090480209069603, 0.530279185725927, 0.5394150094527203, 0.5402400539497964, 0.5583941274934692, 0.5710605532029679, 0.5878815952226052, 0.6086470916561867, 0.6104798348607998, 0.6195365293334537, 0.61959992475183, 0.6224799080556842, 0.641959451536511, 0.6432475254076767, 0.6463707803992377, 0.6503823787613954, 0.6530169121041588, 0.7147206698227438, 0.7220759849351598, 0.7245628823632008, 0.7429360761552188, 0.7466190036483783, 0.7513773746193134, 0.7611243616756599, 0.7698682492484907, 0.7789869995919191, 0.7832133998727533, 0.789848836023374, 0.7911435444757444, 0.7945562020195387, 0.8114562315941917, 0.8470913183167449, 0.8685338241181195, 0.8799079840841728, 0.9186826538783699, 0.9530097120055788, 0.9602591534601709, 0.966133947329489, 0.9730862995530939, 0.9752993437371588, 0.9763547740527354, 0.9872899029429585, 0.9878571202804521, 1.001945424334049, 1.0492664761534742, 1.0614576001728762, 1.1453288071774534, 1.2323521886205333, 1.241006972621295, 1.2500328261520415, 1.2679618134867274, 1.2800930763708003, 1.311916320417568, 1.3367030086269225, 1.3455103627286393, 1.3516157478209108, 1.3516627302825455, 1.3553937891765324, 1.3750409012538698, 1.390225255975148, 1.402678182817956, 1.4065991535084261, 1.407036582240258, 1.4077994769541982, 1.409693840427691, 1.4116054997924663, 1.4127371864873866, 1.4131447276760338, 1.4167679469522618, 1.4308987958691073, 1.4545450574386856, 1.456948016841024, 1.4591668645227942, 1.4603121600042968, 1.4695421365229804, 1.4760043892767285, 1.4779463752367874, 1.5084228002475104, 1.522031913318013, 1.5385122707768144, 1.5400389055534853, 1.5563052594896811, 1.601860924627827, 1.605437943963413, 1.610266090180204, 1.6148047455413437, 1.621230732248684, 1.6260240501812053, 1.6795464802035045, 1.7001150585041527, 1.7043006107763095, 1.7280190192015854, 1.7602964175215694, 3.4295509749160944], "xaxis": "x", "yaxis": "y"}], {"barmode": "relative", "legend": {"tracegroupgap": 0}, "margin": {"t": 60}, "template": {"data": {"bar": [{"error_x": {"color": "rgb(36,36,36)"}, "error_y": {"color": "rgb(36,36,36)"}, "marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "baxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "rgb(231,231,240)"}, "line": {"color": "white"}}, "header": {"fill": {"color": "rgb(183,183,191)"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "rgb(67,103,167)"}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "colorscale": {"sequential": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "sequentialminus": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]]}, "colorway": ["rgb(76,114,176)", "rgb(221,132,82)", "rgb(85,168,104)", "rgb(196,78,82)", "rgb(129,114,179)", "rgb(147,120,96)", "rgb(218,139,195)", "rgb(140,140,140)", "rgb(204,185,116)", "rgb(100,181,205)"], "font": {"color": "rgb(36,36,36)"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "rgb(234,234,242)", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "paper_bgcolor": "white", "plot_bgcolor": "rgb(234,234,242)", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "radialaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"fillcolor": "rgb(67,103,167)", "line": {"width": 0}, "opacity": 0.5}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "caxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}}}, "xaxis": {"anchor": "y", "domain": [0.0, 1.0], "title": {"text": "energy"}}, "yaxis": {"anchor": "x", "domain": [0.0, 1.0], "title": {"text": "count"}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('da5166ce-cff5-47c7-b6eb-054b9beac6a9'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); 249, -0.8114562315941917, -0.7945562020195387, -0.7911435444757444, -0.789848836023374, -0.7832133998727533, -0.7789869995919191, -0.7698682492484907, -0.7611243616756599, -0.7513773746193134, -0.7466190036483783, -0.7429360761552188, -0.7245628823632008, -0.7220759849351598, -0.7147206698227438, -0.6530169121041588, -0.6503823787613954, -0.6463707803992377, -0.6432475254076767, -0.641959451536511, -0.6224799080556842, -0.61959992475183, -0.6195365293334537, -0.6104798348607998, -0.6086470916561867, -0.5878815952226052, -0.5710605532029679, -0.5583941274934692, -0.5402400539497964, -0.5394150094527203, -0.530279185725927, -0.5090480209069603, -0.4958464689043356, -0.49442768338169674, -0.49268817494548844, -0.482383666378441, -0.4692951646423313, -0.4605509881932589, -0.45263914484372436, -0.45057772972202004, -0.4439448902711589, -0.4272516540509306, -0.42163397569355854, -0.4195142964038215, -0.41290729195070763, -0.4101856911500031, -0.399462268097455, -0.39247389283820444, -0.3911219636767349, -0.3900334992727874, -0.385672843616656, -0.38293496146593364, -0.3718930524841081, -0.3677206458786336, -0.3628110582028559, -0.3593761709273384, -0.3566350104102197, -0.356170205829102, -0.35529219471809353, -0.35140758567474206, -0.3497355715237155, -0.3474814300401367, -0.34195360301042504, -0.34083186767529966, -0.334418100324323, -0.3326710328283608, -0.3312891283175204, -0.32190580559917364, -0.31914652786624165, -0.316099082953608, -0.3147664755809411, -0.3144195310139996, -0.3051051133144324, -0.3011905507168768, -0.3002462171517351, -0.2986838150763796, -0.29378225713841855, -0.29054742210792145, -0.287284893964309, -0.2821746088349758, -0.27157155434933256, -0.27046271907630254, -0.2682220737759482, -0.2666338448161429, -0.26648085291089235, -0.26227462824205905, -0.25687665053445413, -0.2566378578858469, -0.2545634965627493, -0.2539875720013527, -0.25327387127471757, -0.25095288130508125, -0.2502409971161638, -0.25006400239451454, -0.249304988059164, -0.24804499448879816, -0.2473955113981902, -0.24738671192335804, -0.24680591904880608, -0.2462235520321357, -0.24445116967069103, -0.2437097162296196, -0.24268662934988522, -0.23682873304115304, -0.227919961360513, -0.22589124118034648, -0.22510336644699075, -0.22217726615442768, -0.21979896660278606, -0.21943147649975464, -0.2180830858819882, -0.2144776693231931, -0.21129352229139492, -0.20221952495505774, -0.19836536657715442, -0.1951116558329767, -0.19026645430265854, -0.18936186444411152, -0.18877167811288575, -0.18858808907601282, -0.18745790819111308, -0.1870229232598624, -0.18538744733318926, -0.1841133931761701, -0.1820853136329261, -0.17968766648674928, -0.17923115749157517, -0.1789064693713693, -0.16484237519892356, -0.16362160546176235, -0.1623599728462332, -0.15904016844174224, -0.15590748209544605, -0.15206078652717814, -0.14994627459467522, -0.13956442742089903, -0.13913032628124702, -0.13664899103441613, -0.13557559051808213, -0.1287177577983344, -0.1283980995517496, -0.12222127569910947, -0.11814243739577031, -0.11740124763011342, -0.11489994619380098, -0.1142146560645211, -0.11275864429228995, -0.1096024368229068, -0.10484253542852598, -0.10452146091295247, -0.10273677306152332, -0.10243013596870491, -0.1016299041305034, -0.09072230658505422, -0.08982888089999409, -0.08560058212028274, -0.0848643069917153, -0.08369175384864268, -0.08254103942486529, -0.0814370240200953, -0.08088254740602863, -0.07719922449828796, -0.07696972582370185, -0.07649922529253576, -0.07631926080374948, -0.07434668265847695, -0.07304257991981707, -0.07127017344510522, -0.06811955298402693, -0.06641613561687439, -0.06377157172030697, -0.06332348524488077, -0.06309992497493132, -0.0629877321540442, -0.06195115343865365, -0.061742075751197965, -0.05907636522554885, -0.059037407838776625, -0.058040647831821376, -0.05704199366386662, -0.054925339757076995, -0.05454230595554818, -0.05251268305009913, -0.05103501348314575, -0.050224090011424076, -0.04792912666602962, -0.047737530079893, -0.04757497351690919, -0.04572491962828099, -0.04408802715571931, -0.04314733306814489, -0.04242183503907916, -0.04157649958180026, -0.041400329762652545, -0.03857708177549634, -0.038460369697261035, -0.036953786686562164, -0.036868388577507585, -0.03289180130231932, -0.032711155484437704, -0.032076783427077975, -0.031165766297465713, -0.028129552506168568, -0.02686967176644436, -0.025887391007694882, -0.025698362525092767, -0.024880809327579974, -0.024536889311244307, -0.023401317798101468, -0.022427646897401732, -0.021795541898906805, -0.01957696594515852, -0.01942105728798754, -0.0187653124401885, -0.018532459408548713, -0.017910210981486454, -0.014107741523398732, -0.013921051721290994, -0.013675330867087089, -0.011847985810513465, -0.010527198868418058, -0.009229392701099688, -0.008932129797219527, -0.007452914745133853, -0.0064338161231278935, -0.0038149466586508214, -0.002288334273327917, 0.002288334273327917, 0.0038149466586508214, 0.0064338161231278935, 0.007452914745133853, 0.008932129797219527, 0.009229392701099688, 0.010527198868418058, 0.011847985810513465, 0.013675330867087089, 0.013921051721290994, 0.014107741523398732, 0.017910210981486454, 0.018532459408548713, 0.0187653124401885, 0.01942105728798754, 0.01957696594515852, 0.021795541898906805, 0.022427646897401732, 0.023401317798101468, 0.024536889311244307, 0.024880809327579974, 0.025698362525092767, 0.025887391007694882, 0.02686967176644436, 0.028129552506168568, 0.031165766297465713, 0.032076783427077975, 0.032711155484437704, 0.03289180130231932, 0.036868388577507585, 0.036953786686562164, 0.038460369697261035, 0.03857708177549634, 0.041400329762652545, 0.04157649958180026, 0.04242183503907916, 0.04314733306814489, 0.04408802715571931, 0.04572491962828099, 0.04757497351690919, 0.047737530079893, 0.04792912666602962, 0.050224090011424076, 0.05103501348314575, 0.05251268305009913, 0.05454230595554818, 0.054925339757076995, 0.05704199366386662, 0.058040647831821376, 0.059037407838776625, 0.05907636522554885, 0.061742075751197965, 0.06195115343865365, 0.0629877321540442, 0.06309992497493132, 0.06332348524488077, 0.06377157172030697, 0.06641613561687439, 0.06811955298402693, 0.07127017344510522, 0.07304257991981707, 0.07434668265847695, 0.07631926080374948, 0.07649922529253576, 0.07696972582370185, 0.07719922449828796, 0.08088254740602863, 0.0814370240200953, 0.08254103942486529, 0.08369175384864268, 0.0848643069917153, 0.08560058212028274, 0.08982888089999409, 0.09072230658505422, 0.1016299041305034, 0.10243013596870491, 0.10273677306152332, 0.10452146091295247, 0.10484253542852598, 0.1096024368229068, 0.11275864429228995, 0.1142146560645211, 0.11489994619380098, 0.11740124763011342, 0.11814243739577031, 0.12222127569910947, 0.1283980995517496, 0.1287177577983344, 0.13557559051808213, 0.13664899103441613, 0.13913032628124702, 0.13956442742089903, 0.14994627459467522, 0.15206078652717814, 0.15590748209544605, 0.15904016844174224, 0.1623599728462332, 0.16362160546176235, 0.16484237519892356, 0.1789064693713693, 0.17923115749157517, 0.17968766648674928, 0.1820853136329261, 0.1841133931761701, 0.18538744733318926, 0.1870229232598624, 0.18745790819111308, 0.18858808907601282, 0.18877167811288575, 0.18936186444411152, 0.19026645430265854, 0.1951116558329767, 0.19836536657715442, 0.20221952495505774, 0.21129352229139492, 0.2144776693231931, 0.2180830858819882, 0.21943147649975464, 0.21979896660278606, 0.22217726615442768, 0.22510336644699075, 0.22589124118034648, 0.227919961360513, 0.23682873304115304, 0.24268662934988522, 0.2437097162296196, 0.24445116967069103, 0.2462235520321357, 0.24680591904880608, 0.24738671192335804, 0.2473955113981902, 0.24804499448879816, 0.249304988059164, 0.25006400239451454, 0.2502409971161638, 0.25095288130508125, 0.25327387127471757, 0.2539875720013527, 0.2545634965627493, 0.2566378578858469, 0.25687665053445413, 0.26227462824205905, 0.26648085291089235, 0.2666338448161429, 0.2682220737759482, 0.27046271907630254, 0.27157155434933256, 0.2821746088349758, 0.287284893964309, 0.29054742210792145, 0.29378225713841855, 0.2986838150763796, 0.3002462171517351, 0.3011905507168768, 0.3051051133144324, 0.3144195310139996, 0.3147664755809411, 0.316099082953608, 0.31914652786624165, 0.32190580559917364, 0.3312891283175204, 0.3326710328283608, 0.334418100324323, 0.34083186767529966, 0.34195360301042504, 0.3474814300401367, 0.3497355715237155, 0.35140758567474206, 0.35529219471809353, 0.356170205829102, 0.3566350104102197, 0.3593761709273384, 0.3628110582028559, 0.3677206458786336, 0.3718930524841081, 0.38293496146593364, 0.385672843616656, 0.3900334992727874, 0.3911219636767349, 0.39247389283820444, 0.399462268097455, 0.4101856911500031, 0.41290729195070763, 0.4195142964038215, 0.42163397569355854, 0.4272516540509306, 0.4439448902711589, 0.45057772972202004, 0.45263914484372436, 0.4605509881932589, 0.4692951646423313, 0.482383666378441, 0.49268817494548844, 0.49442768338169674, 0.4958464689043356, 0.5090480209069603, 0.530279185725927, 0.5394150094527203, 0.5402400539497964, 0.5583941274934692, 0.5710605532029679, 0.5878815952226052, 0.6086470916561867, 0.6104798348607998, 0.6195365293334537, 0.61959992475183, 0.6224799080556842, 0.641959451536511, 0.6432475254076767, 0.6463707803992377, 0.6503823787613954, 0.6530169121041588, 0.7147206698227438, 0.7220759849351598, 0.7245628823632008, 0.7429360761552188, 0.7466190036483783, 0.7513773746193134, 0.7611243616756599, 0.7698682492484907, 0.7789869995919191, 0.7832133998727533, 0.789848836023374, 0.7911435444757444, 0.7945562020195387, 0.8114562315941917, 0.8470913183167449, 0.8685338241181195, 0.8799079840841728, 0.9186826538783699, 0.9530097120055788, 0.9602591534601709, 0.966133947329489, 0.9730862995530939, 0.9752993437371588, 0.9763547740527354, 0.9872899029429585, 0.9878571202804521, 1.001945424334049, 1.0492664761534742, 1.0614576001728762, 1.1453288071774534, 1.2323521886205333, 1.241006972621295, 1.2500328261520415, 1.2679618134867274, 1.2800930763708003, 1.311916320417568, 1.3367030086269225, 1.3455103627286393, 1.3516157478209108, 1.3516627302825455, 1.3553937891765324, 1.3750409012538698, 1.390225255975148, 1.402678182817956, 1.4065991535084261, 1.407036582240258, 1.4077994769541982, 1.409693840427691, 1.4116054997924663, 1.4127371864873866, 1.4131447276760338, 1.4167679469522618, 1.4308987958691073, 1.4545450574386856, 1.456948016841024, 1.4591668645227942, 1.4603121600042968, 1.4695421365229804, 1.4760043892767285, 1.4779463752367874, 1.5084228002475104, 1.522031913318013, 1.5385122707768144, 1.5400389055534853, 1.5563052594896811, 1.601860924627827, 1.605437943963413, 1.610266090180204, 1.6148047455413437, 1.621230732248684, 1.6260240501812053, 1.6795464802035045, 1.7001150585041527, 1.7043006107763095, 1.7280190192015854, 1.7602964175215694, 3.4295509749160944], "xaxis": "x", "yaxis": "y"}], {"barmode": "relative", "legend": {"tracegroupgap": 0}, "margin": {"t": 60}, "template": {"data": {"bar": [{"error_x": {"color": "rgb(36,36,36)"}, "error_y": {"color": "rgb(36,36,36)"}, "marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "baxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "rgb(231,231,240)"}, "line": {"color": "white"}}, "header": {"fill": {"color": "rgb(183,183,191)"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "rgb(67,103,167)"}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "colorscale": {"sequential": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "sequentialminus": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]]}, "colorway": ["rgb(76,114,176)", "rgb(221,132,82)", "rgb(85,168,104)", "rgb(196,78,82)", "rgb(129,114,179)", "rgb(147,120,96)", "rgb(218,139,195)", "rgb(140,140,140)", "rgb(204,185,116)", "rgb(100,181,205)"], "font": {"color": "rgb(36,36,36)"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "rgb(234,234,242)", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "paper_bgcolor": "white", "plot_bgcolor": "rgb(234,234,242)", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "radialaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"fillcolor": "rgb(67,103,167)", "line": {"width": 0}, "opacity": 0.5}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "caxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}}}, "xaxis": {"anchor": "y", "domain": [0.0, 1.0], "title": {"text": "energy"}}, "yaxis": {"anchor": "x", "domain": [0.0, 1.0], "title": {"text": "count"}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('da5166ce-cff5-47c7-b6eb-054b9beac6a9'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); ", "x": -0.026186397142013013, "xanchor": "center", "y": -0.0019506591183703127, "yanchor": "auto", "z": -6.349230346716073}, {"align": "center", "font": {"color": "black", "size": 16.0}, "opacity": 0.7, "showarrow": false, "text": "Mn3632008, -0.7220759849351598, -0.7147206698227438, -0.6530169121041588, -0.6503823787613954, -0.6463707803992377, -0.6432475254076767, -0.641959451536511, -0.6224799080556842, -0.61959992475183, -0.6195365293334537, -0.6104798348607998, -0.6086470916561867, -0.5878815952226052, -0.5710605532029679, -0.5583941274934692, -0.5402400539497964, -0.5394150094527203, -0.530279185725927, -0.5090480209069603, -0.4958464689043356, -0.49442768338169674, -0.49268817494548844, -0.482383666378441, -0.4692951646423313, -0.4605509881932589, -0.45263914484372436, -0.45057772972202004, -0.4439448902711589, -0.4272516540509306, -0.42163397569355854, -0.4195142964038215, -0.41290729195070763, -0.4101856911500031, -0.399462268097455, -0.39247389283820444, -0.3911219636767349, -0.3900334992727874, -0.385672843616656, -0.38293496146593364, -0.3718930524841081, -0.3677206458786336, -0.3628110582028559, -0.3593761709273384, -0.3566350104102197, -0.356170205829102, -0.35529219471809353, -0.35140758567474206, -0.3497355715237155, -0.3474814300401367, -0.34195360301042504, -0.34083186767529966, -0.334418100324323, -0.3326710328283608, -0.3312891283175204, -0.32190580559917364, -0.31914652786624165, -0.316099082953608, -0.3147664755809411, -0.3144195310139996, -0.3051051133144324, -0.3011905507168768, -0.3002462171517351, -0.2986838150763796, -0.29378225713841855, -0.29054742210792145, -0.287284893964309, -0.2821746088349758, -0.27157155434933256, -0.27046271907630254, -0.2682220737759482, -0.2666338448161429, -0.26648085291089235, -0.26227462824205905, -0.25687665053445413, -0.2566378578858469, -0.2545634965627493, -0.2539875720013527, -0.25327387127471757, -0.25095288130508125, -0.2502409971161638, -0.25006400239451454, -0.249304988059164, -0.24804499448879816, -0.2473955113981902, -0.24738671192335804, -0.24680591904880608, -0.2462235520321357, -0.24445116967069103, -0.2437097162296196, -0.24268662934988522, -0.23682873304115304, -0.227919961360513, -0.22589124118034648, -0.22510336644699075, -0.22217726615442768, -0.21979896660278606, -0.21943147649975464, -0.2180830858819882, -0.2144776693231931, -0.21129352229139492, -0.20221952495505774, -0.19836536657715442, -0.1951116558329767, -0.19026645430265854, -0.18936186444411152, -0.18877167811288575, -0.18858808907601282, -0.18745790819111308, -0.1870229232598624, -0.18538744733318926, -0.1841133931761701, -0.1820853136329261, -0.17968766648674928, -0.17923115749157517, -0.1789064693713693, -0.16484237519892356, -0.16362160546176235, -0.1623599728462332, -0.15904016844174224, -0.15590748209544605, -0.15206078652717814, -0.14994627459467522, -0.13956442742089903, -0.13913032628124702, -0.13664899103441613, -0.13557559051808213, -0.1287177577983344, -0.1283980995517496, -0.12222127569910947, -0.11814243739577031, -0.11740124763011342, -0.11489994619380098, -0.1142146560645211, -0.11275864429228995, -0.1096024368229068, -0.10484253542852598, -0.10452146091295247, -0.10273677306152332, -0.10243013596870491, -0.1016299041305034, -0.09072230658505422, -0.08982888089999409, -0.08560058212028274, -0.0848643069917153, -0.08369175384864268, -0.08254103942486529, -0.0814370240200953, -0.08088254740602863, -0.07719922449828796, -0.07696972582370185, -0.07649922529253576, -0.07631926080374948, -0.07434668265847695, -0.07304257991981707, -0.07127017344510522, -0.06811955298402693, -0.06641613561687439, -0.06377157172030697, -0.06332348524488077, -0.06309992497493132, -0.0629877321540442, -0.06195115343865365, -0.061742075751197965, -0.05907636522554885, -0.059037407838776625, -0.058040647831821376, -0.05704199366386662, -0.054925339757076995, -0.05454230595554818, -0.05251268305009913, -0.05103501348314575, -0.050224090011424076, -0.04792912666602962, -0.047737530079893, -0.04757497351690919, -0.04572491962828099, -0.04408802715571931, -0.04314733306814489, -0.04242183503907916, -0.04157649958180026, -0.041400329762652545, -0.03857708177549634, -0.038460369697261035, -0.036953786686562164, -0.036868388577507585, -0.03289180130231932, -0.032711155484437704, -0.032076783427077975, -0.031165766297465713, -0.028129552506168568, -0.02686967176644436, -0.025887391007694882, -0.025698362525092767, -0.024880809327579974, -0.024536889311244307, -0.023401317798101468, -0.022427646897401732, -0.021795541898906805, -0.01957696594515852, -0.01942105728798754, -0.0187653124401885, -0.018532459408548713, -0.017910210981486454, -0.014107741523398732, -0.013921051721290994, -0.013675330867087089, -0.011847985810513465, -0.010527198868418058, -0.009229392701099688, -0.008932129797219527, -0.007452914745133853, -0.0064338161231278935, -0.0038149466586508214, -0.002288334273327917, 0.002288334273327917, 0.0038149466586508214, 0.0064338161231278935, 0.007452914745133853, 0.008932129797219527, 0.009229392701099688, 0.010527198868418058, 0.011847985810513465, 0.013675330867087089, 0.013921051721290994, 0.014107741523398732, 0.017910210981486454, 0.018532459408548713, 0.0187653124401885, 0.01942105728798754, 0.01957696594515852, 0.021795541898906805, 0.022427646897401732, 0.023401317798101468, 0.024536889311244307, 0.024880809327579974, 0.025698362525092767, 0.025887391007694882, 0.02686967176644436, 0.028129552506168568, 0.031165766297465713, 0.032076783427077975, 0.032711155484437704, 0.03289180130231932, 0.036868388577507585, 0.036953786686562164, 0.038460369697261035, 0.03857708177549634, 0.041400329762652545, 0.04157649958180026, 0.04242183503907916, 0.04314733306814489, 0.04408802715571931, 0.04572491962828099, 0.04757497351690919, 0.047737530079893, 0.04792912666602962, 0.050224090011424076, 0.05103501348314575, 0.05251268305009913, 0.05454230595554818, 0.054925339757076995, 0.05704199366386662, 0.058040647831821376, 0.059037407838776625, 0.05907636522554885, 0.061742075751197965, 0.06195115343865365, 0.0629877321540442, 0.06309992497493132, 0.06332348524488077, 0.06377157172030697, 0.06641613561687439, 0.06811955298402693, 0.07127017344510522, 0.07304257991981707, 0.07434668265847695, 0.07631926080374948, 0.07649922529253576, 0.07696972582370185, 0.07719922449828796, 0.08088254740602863, 0.0814370240200953, 0.08254103942486529, 0.08369175384864268, 0.0848643069917153, 0.08560058212028274, 0.08982888089999409, 0.09072230658505422, 0.1016299041305034, 0.10243013596870491, 0.10273677306152332, 0.10452146091295247, 0.10484253542852598, 0.1096024368229068, 0.11275864429228995, 0.1142146560645211, 0.11489994619380098, 0.11740124763011342, 0.11814243739577031, 0.12222127569910947, 0.1283980995517496, 0.1287177577983344, 0.13557559051808213, 0.13664899103441613, 0.13913032628124702, 0.13956442742089903, 0.14994627459467522, 0.15206078652717814, 0.15590748209544605, 0.15904016844174224, 0.1623599728462332, 0.16362160546176235, 0.16484237519892356, 0.1789064693713693, 0.17923115749157517, 0.17968766648674928, 0.1820853136329261, 0.1841133931761701, 0.18538744733318926, 0.1870229232598624, 0.18745790819111308, 0.18858808907601282, 0.18877167811288575, 0.18936186444411152, 0.19026645430265854, 0.1951116558329767, 0.19836536657715442, 0.20221952495505774, 0.21129352229139492, 0.2144776693231931, 0.2180830858819882, 0.21943147649975464, 0.21979896660278606, 0.22217726615442768, 0.22510336644699075, 0.22589124118034648, 0.227919961360513, 0.23682873304115304, 0.24268662934988522, 0.2437097162296196, 0.24445116967069103, 0.2462235520321357, 0.24680591904880608, 0.24738671192335804, 0.2473955113981902, 0.24804499448879816, 0.249304988059164, 0.25006400239451454, 0.2502409971161638, 0.25095288130508125, 0.25327387127471757, 0.2539875720013527, 0.2545634965627493, 0.2566378578858469, 0.25687665053445413, 0.26227462824205905, 0.26648085291089235, 0.2666338448161429, 0.2682220737759482, 0.27046271907630254, 0.27157155434933256, 0.2821746088349758, 0.287284893964309, 0.29054742210792145, 0.29378225713841855, 0.2986838150763796, 0.3002462171517351, 0.3011905507168768, 0.3051051133144324, 0.3144195310139996, 0.3147664755809411, 0.316099082953608, 0.31914652786624165, 0.32190580559917364, 0.3312891283175204, 0.3326710328283608, 0.334418100324323, 0.34083186767529966, 0.34195360301042504, 0.3474814300401367, 0.3497355715237155, 0.35140758567474206, 0.35529219471809353, 0.356170205829102, 0.3566350104102197, 0.3593761709273384, 0.3628110582028559, 0.3677206458786336, 0.3718930524841081, 0.38293496146593364, 0.385672843616656, 0.3900334992727874, 0.3911219636767349, 0.39247389283820444, 0.399462268097455, 0.4101856911500031, 0.41290729195070763, 0.4195142964038215, 0.42163397569355854, 0.4272516540509306, 0.4439448902711589, 0.45057772972202004, 0.45263914484372436, 0.4605509881932589, 0.4692951646423313, 0.482383666378441, 0.49268817494548844, 0.49442768338169674, 0.4958464689043356, 0.5090480209069603, 0.530279185725927, 0.5394150094527203, 0.5402400539497964, 0.5583941274934692, 0.5710605532029679, 0.5878815952226052, 0.6086470916561867, 0.6104798348607998, 0.6195365293334537, 0.61959992475183, 0.6224799080556842, 0.641959451536511, 0.6432475254076767, 0.6463707803992377, 0.6503823787613954, 0.6530169121041588, 0.7147206698227438, 0.7220759849351598, 0.7245628823632008, 0.7429360761552188, 0.7466190036483783, 0.7513773746193134, 0.7611243616756599, 0.7698682492484907, 0.7789869995919191, 0.7832133998727533, 0.789848836023374, 0.7911435444757444, 0.7945562020195387, 0.8114562315941917, 0.8470913183167449, 0.8685338241181195, 0.8799079840841728, 0.9186826538783699, 0.9530097120055788, 0.9602591534601709, 0.966133947329489, 0.9730862995530939, 0.9752993437371588, 0.9763547740527354, 0.9872899029429585, 0.9878571202804521, 1.001945424334049, 1.0492664761534742, 1.0614576001728762, 1.1453288071774534, 1.2323521886205333, 1.241006972621295, 1.2500328261520415, 1.2679618134867274, 1.2800930763708003, 1.311916320417568, 1.3367030086269225, 1.3455103627286393, 1.3516157478209108, 1.3516627302825455, 1.3553937891765324, 1.3750409012538698, 1.390225255975148, 1.402678182817956, 1.4065991535084261, 1.407036582240258, 1.4077994769541982, 1.409693840427691, 1.4116054997924663, 1.4127371864873866, 1.4131447276760338, 1.4167679469522618, 1.4308987958691073, 1.4545450574386856, 1.456948016841024, 1.4591668645227942, 1.4603121600042968, 1.4695421365229804, 1.4760043892767285, 1.4779463752367874, 1.5084228002475104, 1.522031913318013, 1.5385122707768144, 1.5400389055534853, 1.5563052594896811, 1.601860924627827, 1.605437943963413, 1.610266090180204, 1.6148047455413437, 1.621230732248684, 1.6260240501812053, 1.6795464802035045, 1.7001150585041527, 1.7043006107763095, 1.7280190192015854, 1.7602964175215694, 3.4295509749160944], "xaxis": "x", "yaxis": "y"}], {"barmode": "relative", "legend": {"tracegroupgap": 0}, "margin": {"t": 60}, "template": {"data": {"bar": [{"error_x": {"color": "rgb(36,36,36)"}, "error_y": {"color": "rgb(36,36,36)"}, "marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "baxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "rgb(231,231,240)"}, "line": {"color": "white"}}, "header": {"fill": {"color": "rgb(183,183,191)"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "rgb(67,103,167)"}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "colorscale": {"sequential": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "sequentialminus": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]]}, "colorway": ["rgb(76,114,176)", "rgb(221,132,82)", "rgb(85,168,104)", "rgb(196,78,82)", "rgb(129,114,179)", "rgb(147,120,96)", "rgb(218,139,195)", "rgb(140,140,140)", "rgb(204,185,116)", "rgb(100,181,205)"], "font": {"color": "rgb(36,36,36)"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "rgb(234,234,242)", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "paper_bgcolor": "white", "plot_bgcolor": "rgb(234,234,242)", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "radialaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"fillcolor": "rgb(67,103,167)", "line": {"width": 0}, "opacity": 0.5}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "caxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}}}, "xaxis": {"anchor": "y", "domain": [0.0, 1.0], "title": {"text": "energy"}}, "yaxis": {"anchor": "x", "domain": [0.0, 1.0], "title": {"text": "count"}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('da5166ce-cff5-47c7-b6eb-054b9beac6a9'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); O420759849351598, -0.7147206698227438, -0.6530169121041588, -0.6503823787613954, -0.6463707803992377, -0.6432475254076767, -0.641959451536511, -0.6224799080556842, -0.61959992475183, -0.6195365293334537, -0.6104798348607998, -0.6086470916561867, -0.5878815952226052, -0.5710605532029679, -0.5583941274934692, -0.5402400539497964, -0.5394150094527203, -0.530279185725927, -0.5090480209069603, -0.4958464689043356, -0.49442768338169674, -0.49268817494548844, -0.482383666378441, -0.4692951646423313, -0.4605509881932589, -0.45263914484372436, -0.45057772972202004, -0.4439448902711589, -0.4272516540509306, -0.42163397569355854, -0.4195142964038215, -0.41290729195070763, -0.4101856911500031, -0.399462268097455, -0.39247389283820444, -0.3911219636767349, -0.3900334992727874, -0.385672843616656, -0.38293496146593364, -0.3718930524841081, -0.3677206458786336, -0.3628110582028559, -0.3593761709273384, -0.3566350104102197, -0.356170205829102, -0.35529219471809353, -0.35140758567474206, -0.3497355715237155, -0.3474814300401367, -0.34195360301042504, -0.34083186767529966, -0.334418100324323, -0.3326710328283608, -0.3312891283175204, -0.32190580559917364, -0.31914652786624165, -0.316099082953608, -0.3147664755809411, -0.3144195310139996, -0.3051051133144324, -0.3011905507168768, -0.3002462171517351, -0.2986838150763796, -0.29378225713841855, -0.29054742210792145, -0.287284893964309, -0.2821746088349758, -0.27157155434933256, -0.27046271907630254, -0.2682220737759482, -0.2666338448161429, -0.26648085291089235, -0.26227462824205905, -0.25687665053445413, -0.2566378578858469, -0.2545634965627493, -0.2539875720013527, -0.25327387127471757, -0.25095288130508125, -0.2502409971161638, -0.25006400239451454, -0.249304988059164, -0.24804499448879816, -0.2473955113981902, -0.24738671192335804, -0.24680591904880608, -0.2462235520321357, -0.24445116967069103, -0.2437097162296196, -0.24268662934988522, -0.23682873304115304, -0.227919961360513, -0.22589124118034648, -0.22510336644699075, -0.22217726615442768, -0.21979896660278606, -0.21943147649975464, -0.2180830858819882, -0.2144776693231931, -0.21129352229139492, -0.20221952495505774, -0.19836536657715442, -0.1951116558329767, -0.19026645430265854, -0.18936186444411152, -0.18877167811288575, -0.18858808907601282, -0.18745790819111308, -0.1870229232598624, -0.18538744733318926, -0.1841133931761701, -0.1820853136329261, -0.17968766648674928, -0.17923115749157517, -0.1789064693713693, -0.16484237519892356, -0.16362160546176235, -0.1623599728462332, -0.15904016844174224, -0.15590748209544605, -0.15206078652717814, -0.14994627459467522, -0.13956442742089903, -0.13913032628124702, -0.13664899103441613, -0.13557559051808213, -0.1287177577983344, -0.1283980995517496, -0.12222127569910947, -0.11814243739577031, -0.11740124763011342, -0.11489994619380098, -0.1142146560645211, -0.11275864429228995, -0.1096024368229068, -0.10484253542852598, -0.10452146091295247, -0.10273677306152332, -0.10243013596870491, -0.1016299041305034, -0.09072230658505422, -0.08982888089999409, -0.08560058212028274, -0.0848643069917153, -0.08369175384864268, -0.08254103942486529, -0.0814370240200953, -0.08088254740602863, -0.07719922449828796, -0.07696972582370185, -0.07649922529253576, -0.07631926080374948, -0.07434668265847695, -0.07304257991981707, -0.07127017344510522, -0.06811955298402693, -0.06641613561687439, -0.06377157172030697, -0.06332348524488077, -0.06309992497493132, -0.0629877321540442, -0.06195115343865365, -0.061742075751197965, -0.05907636522554885, -0.059037407838776625, -0.058040647831821376, -0.05704199366386662, -0.054925339757076995, -0.05454230595554818, -0.05251268305009913, -0.05103501348314575, -0.050224090011424076, -0.04792912666602962, -0.047737530079893, -0.04757497351690919, -0.04572491962828099, -0.04408802715571931, -0.04314733306814489, -0.04242183503907916, -0.04157649958180026, -0.041400329762652545, -0.03857708177549634, -0.038460369697261035, -0.036953786686562164, -0.036868388577507585, -0.03289180130231932, -0.032711155484437704, -0.032076783427077975, -0.031165766297465713, -0.028129552506168568, -0.02686967176644436, -0.025887391007694882, -0.025698362525092767, -0.024880809327579974, -0.024536889311244307, -0.023401317798101468, -0.022427646897401732, -0.021795541898906805, -0.01957696594515852, -0.01942105728798754, -0.0187653124401885, -0.018532459408548713, -0.017910210981486454, -0.014107741523398732, -0.013921051721290994, -0.013675330867087089, -0.011847985810513465, -0.010527198868418058, -0.009229392701099688, -0.008932129797219527, -0.007452914745133853, -0.0064338161231278935, -0.0038149466586508214, -0.002288334273327917, 0.002288334273327917, 0.0038149466586508214, 0.0064338161231278935, 0.007452914745133853, 0.008932129797219527, 0.009229392701099688, 0.010527198868418058, 0.011847985810513465, 0.013675330867087089, 0.013921051721290994, 0.014107741523398732, 0.017910210981486454, 0.018532459408548713, 0.0187653124401885, 0.01942105728798754, 0.01957696594515852, 0.021795541898906805, 0.022427646897401732, 0.023401317798101468, 0.024536889311244307, 0.024880809327579974, 0.025698362525092767, 0.025887391007694882, 0.02686967176644436, 0.028129552506168568, 0.031165766297465713, 0.032076783427077975, 0.032711155484437704, 0.03289180130231932, 0.036868388577507585, 0.036953786686562164, 0.038460369697261035, 0.03857708177549634, 0.041400329762652545, 0.04157649958180026, 0.04242183503907916, 0.04314733306814489, 0.04408802715571931, 0.04572491962828099, 0.04757497351690919, 0.047737530079893, 0.04792912666602962, 0.050224090011424076, 0.05103501348314575, 0.05251268305009913, 0.05454230595554818, 0.054925339757076995, 0.05704199366386662, 0.058040647831821376, 0.059037407838776625, 0.05907636522554885, 0.061742075751197965, 0.06195115343865365, 0.0629877321540442, 0.06309992497493132, 0.06332348524488077, 0.06377157172030697, 0.06641613561687439, 0.06811955298402693, 0.07127017344510522, 0.07304257991981707, 0.07434668265847695, 0.07631926080374948, 0.07649922529253576, 0.07696972582370185, 0.07719922449828796, 0.08088254740602863, 0.0814370240200953, 0.08254103942486529, 0.08369175384864268, 0.0848643069917153, 0.08560058212028274, 0.08982888089999409, 0.09072230658505422, 0.1016299041305034, 0.10243013596870491, 0.10273677306152332, 0.10452146091295247, 0.10484253542852598, 0.1096024368229068, 0.11275864429228995, 0.1142146560645211, 0.11489994619380098, 0.11740124763011342, 0.11814243739577031, 0.12222127569910947, 0.1283980995517496, 0.1287177577983344, 0.13557559051808213, 0.13664899103441613, 0.13913032628124702, 0.13956442742089903, 0.14994627459467522, 0.15206078652717814, 0.15590748209544605, 0.15904016844174224, 0.1623599728462332, 0.16362160546176235, 0.16484237519892356, 0.1789064693713693, 0.17923115749157517, 0.17968766648674928, 0.1820853136329261, 0.1841133931761701, 0.18538744733318926, 0.1870229232598624, 0.18745790819111308, 0.18858808907601282, 0.18877167811288575, 0.18936186444411152, 0.19026645430265854, 0.1951116558329767, 0.19836536657715442, 0.20221952495505774, 0.21129352229139492, 0.2144776693231931, 0.2180830858819882, 0.21943147649975464, 0.21979896660278606, 0.22217726615442768, 0.22510336644699075, 0.22589124118034648, 0.227919961360513, 0.23682873304115304, 0.24268662934988522, 0.2437097162296196, 0.24445116967069103, 0.2462235520321357, 0.24680591904880608, 0.24738671192335804, 0.2473955113981902, 0.24804499448879816, 0.249304988059164, 0.25006400239451454, 0.2502409971161638, 0.25095288130508125, 0.25327387127471757, 0.2539875720013527, 0.2545634965627493, 0.2566378578858469, 0.25687665053445413, 0.26227462824205905, 0.26648085291089235, 0.2666338448161429, 0.2682220737759482, 0.27046271907630254, 0.27157155434933256, 0.2821746088349758, 0.287284893964309, 0.29054742210792145, 0.29378225713841855, 0.2986838150763796, 0.3002462171517351, 0.3011905507168768, 0.3051051133144324, 0.3144195310139996, 0.3147664755809411, 0.316099082953608, 0.31914652786624165, 0.32190580559917364, 0.3312891283175204, 0.3326710328283608, 0.334418100324323, 0.34083186767529966, 0.34195360301042504, 0.3474814300401367, 0.3497355715237155, 0.35140758567474206, 0.35529219471809353, 0.356170205829102, 0.3566350104102197, 0.3593761709273384, 0.3628110582028559, 0.3677206458786336, 0.3718930524841081, 0.38293496146593364, 0.385672843616656, 0.3900334992727874, 0.3911219636767349, 0.39247389283820444, 0.399462268097455, 0.4101856911500031, 0.41290729195070763, 0.4195142964038215, 0.42163397569355854, 0.4272516540509306, 0.4439448902711589, 0.45057772972202004, 0.45263914484372436, 0.4605509881932589, 0.4692951646423313, 0.482383666378441, 0.49268817494548844, 0.49442768338169674, 0.4958464689043356, 0.5090480209069603, 0.530279185725927, 0.5394150094527203, 0.5402400539497964, 0.5583941274934692, 0.5710605532029679, 0.5878815952226052, 0.6086470916561867, 0.6104798348607998, 0.6195365293334537, 0.61959992475183, 0.6224799080556842, 0.641959451536511, 0.6432475254076767, 0.6463707803992377, 0.6503823787613954, 0.6530169121041588, 0.7147206698227438, 0.7220759849351598, 0.7245628823632008, 0.7429360761552188, 0.7466190036483783, 0.7513773746193134, 0.7611243616756599, 0.7698682492484907, 0.7789869995919191, 0.7832133998727533, 0.789848836023374, 0.7911435444757444, 0.7945562020195387, 0.8114562315941917, 0.8470913183167449, 0.8685338241181195, 0.8799079840841728, 0.9186826538783699, 0.9530097120055788, 0.9602591534601709, 0.966133947329489, 0.9730862995530939, 0.9752993437371588, 0.9763547740527354, 0.9872899029429585, 0.9878571202804521, 1.001945424334049, 1.0492664761534742, 1.0614576001728762, 1.1453288071774534, 1.2323521886205333, 1.241006972621295, 1.2500328261520415, 1.2679618134867274, 1.2800930763708003, 1.311916320417568, 1.3367030086269225, 1.3455103627286393, 1.3516157478209108, 1.3516627302825455, 1.3553937891765324, 1.3750409012538698, 1.390225255975148, 1.402678182817956, 1.4065991535084261, 1.407036582240258, 1.4077994769541982, 1.409693840427691, 1.4116054997924663, 1.4127371864873866, 1.4131447276760338, 1.4167679469522618, 1.4308987958691073, 1.4545450574386856, 1.456948016841024, 1.4591668645227942, 1.4603121600042968, 1.4695421365229804, 1.4760043892767285, 1.4779463752367874, 1.5084228002475104, 1.522031913318013, 1.5385122707768144, 1.5400389055534853, 1.5563052594896811, 1.601860924627827, 1.605437943963413, 1.610266090180204, 1.6148047455413437, 1.621230732248684, 1.6260240501812053, 1.6795464802035045, 1.7001150585041527, 1.7043006107763095, 1.7280190192015854, 1.7602964175215694, 3.4295509749160944], "xaxis": "x", "yaxis": "y"}], {"barmode": "relative", "legend": {"tracegroupgap": 0}, "margin": {"t": 60}, "template": {"data": {"bar": [{"error_x": {"color": "rgb(36,36,36)"}, "error_y": {"color": "rgb(36,36,36)"}, "marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "baxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "rgb(231,231,240)"}, "line": {"color": "white"}}, "header": {"fill": {"color": "rgb(183,183,191)"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "rgb(67,103,167)"}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "colorscale": {"sequential": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "sequentialminus": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]]}, "colorway": ["rgb(76,114,176)", "rgb(221,132,82)", "rgb(85,168,104)", "rgb(196,78,82)", "rgb(129,114,179)", "rgb(147,120,96)", "rgb(218,139,195)", "rgb(140,140,140)", "rgb(204,185,116)", "rgb(100,181,205)"], "font": {"color": "rgb(36,36,36)"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "rgb(234,234,242)", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "paper_bgcolor": "white", "plot_bgcolor": "rgb(234,234,242)", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "radialaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"fillcolor": "rgb(67,103,167)", "line": {"width": 0}, "opacity": 0.5}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "caxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}}}, "xaxis": {"anchor": "y", "domain": [0.0, 1.0], "title": {"text": "energy"}}, "yaxis": {"anchor": "x", "domain": [0.0, 1.0], "title": {"text": "count"}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('da5166ce-cff5-47c7-b6eb-054b9beac6a9'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); ", "x": -8.405203724663814, "xanchor": "center", "y": -2.157831268455057, "yanchor": "auto", "z": -1.050091084557139}, {"align": "center", "font": {"color": "black", "size": 16.0}, "opacity": 0.7, "showarrow": false, "text": "Y2867, -0.5878815952226052, -0.5710605532029679, -0.5583941274934692, -0.5402400539497964, -0.5394150094527203, -0.530279185725927, -0.5090480209069603, -0.4958464689043356, -0.49442768338169674, -0.49268817494548844, -0.482383666378441, -0.4692951646423313, -0.4605509881932589, -0.45263914484372436, -0.45057772972202004, -0.4439448902711589, -0.4272516540509306, -0.42163397569355854, -0.4195142964038215, -0.41290729195070763, -0.4101856911500031, -0.399462268097455, -0.39247389283820444, -0.3911219636767349, -0.3900334992727874, -0.385672843616656, -0.38293496146593364, -0.3718930524841081, -0.3677206458786336, -0.3628110582028559, -0.3593761709273384, -0.3566350104102197, -0.356170205829102, -0.35529219471809353, -0.35140758567474206, -0.3497355715237155, -0.3474814300401367, -0.34195360301042504, -0.34083186767529966, -0.334418100324323, -0.3326710328283608, -0.3312891283175204, -0.32190580559917364, -0.31914652786624165, -0.316099082953608, -0.3147664755809411, -0.3144195310139996, -0.3051051133144324, -0.3011905507168768, -0.3002462171517351, -0.2986838150763796, -0.29378225713841855, -0.29054742210792145, -0.287284893964309, -0.2821746088349758, -0.27157155434933256, -0.27046271907630254, -0.2682220737759482, -0.2666338448161429, -0.26648085291089235, -0.26227462824205905, -0.25687665053445413, -0.2566378578858469, -0.2545634965627493, -0.2539875720013527, -0.25327387127471757, -0.25095288130508125, -0.2502409971161638, -0.25006400239451454, -0.249304988059164, -0.24804499448879816, -0.2473955113981902, -0.24738671192335804, -0.24680591904880608, -0.2462235520321357, -0.24445116967069103, -0.2437097162296196, -0.24268662934988522, -0.23682873304115304, -0.227919961360513, -0.22589124118034648, -0.22510336644699075, -0.22217726615442768, -0.21979896660278606, -0.21943147649975464, -0.2180830858819882, -0.2144776693231931, -0.21129352229139492, -0.20221952495505774, -0.19836536657715442, -0.1951116558329767, -0.19026645430265854, -0.18936186444411152, -0.18877167811288575, -0.18858808907601282, -0.18745790819111308, -0.1870229232598624, -0.18538744733318926, -0.1841133931761701, -0.1820853136329261, -0.17968766648674928, -0.17923115749157517, -0.1789064693713693, -0.16484237519892356, -0.16362160546176235, -0.1623599728462332, -0.15904016844174224, -0.15590748209544605, -0.15206078652717814, -0.14994627459467522, -0.13956442742089903, -0.13913032628124702, -0.13664899103441613, -0.13557559051808213, -0.1287177577983344, -0.1283980995517496, -0.12222127569910947, -0.11814243739577031, -0.11740124763011342, -0.11489994619380098, -0.1142146560645211, -0.11275864429228995, -0.1096024368229068, -0.10484253542852598, -0.10452146091295247, -0.10273677306152332, -0.10243013596870491, -0.1016299041305034, -0.09072230658505422, -0.08982888089999409, -0.08560058212028274, -0.0848643069917153, -0.08369175384864268, -0.08254103942486529, -0.0814370240200953, -0.08088254740602863, -0.07719922449828796, -0.07696972582370185, -0.07649922529253576, -0.07631926080374948, -0.07434668265847695, -0.07304257991981707, -0.07127017344510522, -0.06811955298402693, -0.06641613561687439, -0.06377157172030697, -0.06332348524488077, -0.06309992497493132, -0.0629877321540442, -0.06195115343865365, -0.061742075751197965, -0.05907636522554885, -0.059037407838776625, -0.058040647831821376, -0.05704199366386662, -0.054925339757076995, -0.05454230595554818, -0.05251268305009913, -0.05103501348314575, -0.050224090011424076, -0.04792912666602962, -0.047737530079893, -0.04757497351690919, -0.04572491962828099, -0.04408802715571931, -0.04314733306814489, -0.04242183503907916, -0.04157649958180026, -0.041400329762652545, -0.03857708177549634, -0.038460369697261035, -0.036953786686562164, -0.036868388577507585, -0.03289180130231932, -0.032711155484437704, -0.032076783427077975, -0.031165766297465713, -0.028129552506168568, -0.02686967176644436, -0.025887391007694882, -0.025698362525092767, -0.024880809327579974, -0.024536889311244307, -0.023401317798101468, -0.022427646897401732, -0.021795541898906805, -0.01957696594515852, -0.01942105728798754, -0.0187653124401885, -0.018532459408548713, -0.017910210981486454, -0.014107741523398732, -0.013921051721290994, -0.013675330867087089, -0.011847985810513465, -0.010527198868418058, -0.009229392701099688, -0.008932129797219527, -0.007452914745133853, -0.0064338161231278935, -0.0038149466586508214, -0.002288334273327917, 0.002288334273327917, 0.0038149466586508214, 0.0064338161231278935, 0.007452914745133853, 0.008932129797219527, 0.009229392701099688, 0.010527198868418058, 0.011847985810513465, 0.013675330867087089, 0.013921051721290994, 0.014107741523398732, 0.017910210981486454, 0.018532459408548713, 0.0187653124401885, 0.01942105728798754, 0.01957696594515852, 0.021795541898906805, 0.022427646897401732, 0.023401317798101468, 0.024536889311244307, 0.024880809327579974, 0.025698362525092767, 0.025887391007694882, 0.02686967176644436, 0.028129552506168568, 0.031165766297465713, 0.032076783427077975, 0.032711155484437704, 0.03289180130231932, 0.036868388577507585, 0.036953786686562164, 0.038460369697261035, 0.03857708177549634, 0.041400329762652545, 0.04157649958180026, 0.04242183503907916, 0.04314733306814489, 0.04408802715571931, 0.04572491962828099, 0.04757497351690919, 0.047737530079893, 0.04792912666602962, 0.050224090011424076, 0.05103501348314575, 0.05251268305009913, 0.05454230595554818, 0.054925339757076995, 0.05704199366386662, 0.058040647831821376, 0.059037407838776625, 0.05907636522554885, 0.061742075751197965, 0.06195115343865365, 0.0629877321540442, 0.06309992497493132, 0.06332348524488077, 0.06377157172030697, 0.06641613561687439, 0.06811955298402693, 0.07127017344510522, 0.07304257991981707, 0.07434668265847695, 0.07631926080374948, 0.07649922529253576, 0.07696972582370185, 0.07719922449828796, 0.08088254740602863, 0.0814370240200953, 0.08254103942486529, 0.08369175384864268, 0.0848643069917153, 0.08560058212028274, 0.08982888089999409, 0.09072230658505422, 0.1016299041305034, 0.10243013596870491, 0.10273677306152332, 0.10452146091295247, 0.10484253542852598, 0.1096024368229068, 0.11275864429228995, 0.1142146560645211, 0.11489994619380098, 0.11740124763011342, 0.11814243739577031, 0.12222127569910947, 0.1283980995517496, 0.1287177577983344, 0.13557559051808213, 0.13664899103441613, 0.13913032628124702, 0.13956442742089903, 0.14994627459467522, 0.15206078652717814, 0.15590748209544605, 0.15904016844174224, 0.1623599728462332, 0.16362160546176235, 0.16484237519892356, 0.1789064693713693, 0.17923115749157517, 0.17968766648674928, 0.1820853136329261, 0.1841133931761701, 0.18538744733318926, 0.1870229232598624, 0.18745790819111308, 0.18858808907601282, 0.18877167811288575, 0.18936186444411152, 0.19026645430265854, 0.1951116558329767, 0.19836536657715442, 0.20221952495505774, 0.21129352229139492, 0.2144776693231931, 0.2180830858819882, 0.21943147649975464, 0.21979896660278606, 0.22217726615442768, 0.22510336644699075, 0.22589124118034648, 0.227919961360513, 0.23682873304115304, 0.24268662934988522, 0.2437097162296196, 0.24445116967069103, 0.2462235520321357, 0.24680591904880608, 0.24738671192335804, 0.2473955113981902, 0.24804499448879816, 0.249304988059164, 0.25006400239451454, 0.2502409971161638, 0.25095288130508125, 0.25327387127471757, 0.2539875720013527, 0.2545634965627493, 0.2566378578858469, 0.25687665053445413, 0.26227462824205905, 0.26648085291089235, 0.2666338448161429, 0.2682220737759482, 0.27046271907630254, 0.27157155434933256, 0.2821746088349758, 0.287284893964309, 0.29054742210792145, 0.29378225713841855, 0.2986838150763796, 0.3002462171517351, 0.3011905507168768, 0.3051051133144324, 0.3144195310139996, 0.3147664755809411, 0.316099082953608, 0.31914652786624165, 0.32190580559917364, 0.3312891283175204, 0.3326710328283608, 0.334418100324323, 0.34083186767529966, 0.34195360301042504, 0.3474814300401367, 0.3497355715237155, 0.35140758567474206, 0.35529219471809353, 0.356170205829102, 0.3566350104102197, 0.3593761709273384, 0.3628110582028559, 0.3677206458786336, 0.3718930524841081, 0.38293496146593364, 0.385672843616656, 0.3900334992727874, 0.3911219636767349, 0.39247389283820444, 0.399462268097455, 0.4101856911500031, 0.41290729195070763, 0.4195142964038215, 0.42163397569355854, 0.4272516540509306, 0.4439448902711589, 0.45057772972202004, 0.45263914484372436, 0.4605509881932589, 0.4692951646423313, 0.482383666378441, 0.49268817494548844, 0.49442768338169674, 0.4958464689043356, 0.5090480209069603, 0.530279185725927, 0.5394150094527203, 0.5402400539497964, 0.5583941274934692, 0.5710605532029679, 0.5878815952226052, 0.6086470916561867, 0.6104798348607998, 0.6195365293334537, 0.61959992475183, 0.6224799080556842, 0.641959451536511, 0.6432475254076767, 0.6463707803992377, 0.6503823787613954, 0.6530169121041588, 0.7147206698227438, 0.7220759849351598, 0.7245628823632008, 0.7429360761552188, 0.7466190036483783, 0.7513773746193134, 0.7611243616756599, 0.7698682492484907, 0.7789869995919191, 0.7832133998727533, 0.789848836023374, 0.7911435444757444, 0.7945562020195387, 0.8114562315941917, 0.8470913183167449, 0.8685338241181195, 0.8799079840841728, 0.9186826538783699, 0.9530097120055788, 0.9602591534601709, 0.966133947329489, 0.9730862995530939, 0.9752993437371588, 0.9763547740527354, 0.9872899029429585, 0.9878571202804521, 1.001945424334049, 1.0492664761534742, 1.0614576001728762, 1.1453288071774534, 1.2323521886205333, 1.241006972621295, 1.2500328261520415, 1.2679618134867274, 1.2800930763708003, 1.311916320417568, 1.3367030086269225, 1.3455103627286393, 1.3516157478209108, 1.3516627302825455, 1.3553937891765324, 1.3750409012538698, 1.390225255975148, 1.402678182817956, 1.4065991535084261, 1.407036582240258, 1.4077994769541982, 1.409693840427691, 1.4116054997924663, 1.4127371864873866, 1.4131447276760338, 1.4167679469522618, 1.4308987958691073, 1.4545450574386856, 1.456948016841024, 1.4591668645227942, 1.4603121600042968, 1.4695421365229804, 1.4760043892767285, 1.4779463752367874, 1.5084228002475104, 1.522031913318013, 1.5385122707768144, 1.5400389055534853, 1.5563052594896811, 1.601860924627827, 1.605437943963413, 1.610266090180204, 1.6148047455413437, 1.621230732248684, 1.6260240501812053, 1.6795464802035045, 1.7001150585041527, 1.7043006107763095, 1.7280190192015854, 1.7602964175215694, 3.4295509749160944], "xaxis": "x", "yaxis": "y"}], {"barmode": "relative", "legend": {"tracegroupgap": 0}, "margin": {"t": 60}, "template": {"data": {"bar": [{"error_x": {"color": "rgb(36,36,36)"}, "error_y": {"color": "rgb(36,36,36)"}, "marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "baxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "rgb(231,231,240)"}, "line": {"color": "white"}}, "header": {"fill": {"color": "rgb(183,183,191)"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "rgb(67,103,167)"}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "colorscale": {"sequential": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "sequentialminus": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]]}, "colorway": ["rgb(76,114,176)", "rgb(221,132,82)", "rgb(85,168,104)", "rgb(196,78,82)", "rgb(129,114,179)", "rgb(147,120,96)", "rgb(218,139,195)", "rgb(140,140,140)", "rgb(204,185,116)", "rgb(100,181,205)"], "font": {"color": "rgb(36,36,36)"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "rgb(234,234,242)", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "paper_bgcolor": "white", "plot_bgcolor": "rgb(234,234,242)", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "radialaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"fillcolor": "rgb(67,103,167)", "line": {"width": 0}, "opacity": 0.5}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "caxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}}}, "xaxis": {"anchor": "y", "domain": [0.0, 1.0], "title": {"text": "energy"}}, "yaxis": {"anchor": "x", "domain": [0.0, 1.0], "title": {"text": "count"}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('da5166ce-cff5-47c7-b6eb-054b9beac6a9'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); O315952226052, -0.5710605532029679, -0.5583941274934692, -0.5402400539497964, -0.5394150094527203, -0.530279185725927, -0.5090480209069603, -0.4958464689043356, -0.49442768338169674, -0.49268817494548844, -0.482383666378441, -0.4692951646423313, -0.4605509881932589, -0.45263914484372436, -0.45057772972202004, -0.4439448902711589, -0.4272516540509306, -0.42163397569355854, -0.4195142964038215, -0.41290729195070763, -0.4101856911500031, -0.399462268097455, -0.39247389283820444, -0.3911219636767349, -0.3900334992727874, -0.385672843616656, -0.38293496146593364, -0.3718930524841081, -0.3677206458786336, -0.3628110582028559, -0.3593761709273384, -0.3566350104102197, -0.356170205829102, -0.35529219471809353, -0.35140758567474206, -0.3497355715237155, -0.3474814300401367, -0.34195360301042504, -0.34083186767529966, -0.334418100324323, -0.3326710328283608, -0.3312891283175204, -0.32190580559917364, -0.31914652786624165, -0.316099082953608, -0.3147664755809411, -0.3144195310139996, -0.3051051133144324, -0.3011905507168768, -0.3002462171517351, -0.2986838150763796, -0.29378225713841855, -0.29054742210792145, -0.287284893964309, -0.2821746088349758, -0.27157155434933256, -0.27046271907630254, -0.2682220737759482, -0.2666338448161429, -0.26648085291089235, -0.26227462824205905, -0.25687665053445413, -0.2566378578858469, -0.2545634965627493, -0.2539875720013527, -0.25327387127471757, -0.25095288130508125, -0.2502409971161638, -0.25006400239451454, -0.249304988059164, -0.24804499448879816, -0.2473955113981902, -0.24738671192335804, -0.24680591904880608, -0.2462235520321357, -0.24445116967069103, -0.2437097162296196, -0.24268662934988522, -0.23682873304115304, -0.227919961360513, -0.22589124118034648, -0.22510336644699075, -0.22217726615442768, -0.21979896660278606, -0.21943147649975464, -0.2180830858819882, -0.2144776693231931, -0.21129352229139492, -0.20221952495505774, -0.19836536657715442, -0.1951116558329767, -0.19026645430265854, -0.18936186444411152, -0.18877167811288575, -0.18858808907601282, -0.18745790819111308, -0.1870229232598624, -0.18538744733318926, -0.1841133931761701, -0.1820853136329261, -0.17968766648674928, -0.17923115749157517, -0.1789064693713693, -0.16484237519892356, -0.16362160546176235, -0.1623599728462332, -0.15904016844174224, -0.15590748209544605, -0.15206078652717814, -0.14994627459467522, -0.13956442742089903, -0.13913032628124702, -0.13664899103441613, -0.13557559051808213, -0.1287177577983344, -0.1283980995517496, -0.12222127569910947, -0.11814243739577031, -0.11740124763011342, -0.11489994619380098, -0.1142146560645211, -0.11275864429228995, -0.1096024368229068, -0.10484253542852598, -0.10452146091295247, -0.10273677306152332, -0.10243013596870491, -0.1016299041305034, -0.09072230658505422, -0.08982888089999409, -0.08560058212028274, -0.0848643069917153, -0.08369175384864268, -0.08254103942486529, -0.0814370240200953, -0.08088254740602863, -0.07719922449828796, -0.07696972582370185, -0.07649922529253576, -0.07631926080374948, -0.07434668265847695, -0.07304257991981707, -0.07127017344510522, -0.06811955298402693, -0.06641613561687439, -0.06377157172030697, -0.06332348524488077, -0.06309992497493132, -0.0629877321540442, -0.06195115343865365, -0.061742075751197965, -0.05907636522554885, -0.059037407838776625, -0.058040647831821376, -0.05704199366386662, -0.054925339757076995, -0.05454230595554818, -0.05251268305009913, -0.05103501348314575, -0.050224090011424076, -0.04792912666602962, -0.047737530079893, -0.04757497351690919, -0.04572491962828099, -0.04408802715571931, -0.04314733306814489, -0.04242183503907916, -0.04157649958180026, -0.041400329762652545, -0.03857708177549634, -0.038460369697261035, -0.036953786686562164, -0.036868388577507585, -0.03289180130231932, -0.032711155484437704, -0.032076783427077975, -0.031165766297465713, -0.028129552506168568, -0.02686967176644436, -0.025887391007694882, -0.025698362525092767, -0.024880809327579974, -0.024536889311244307, -0.023401317798101468, -0.022427646897401732, -0.021795541898906805, -0.01957696594515852, -0.01942105728798754, -0.0187653124401885, -0.018532459408548713, -0.017910210981486454, -0.014107741523398732, -0.013921051721290994, -0.013675330867087089, -0.011847985810513465, -0.010527198868418058, -0.009229392701099688, -0.008932129797219527, -0.007452914745133853, -0.0064338161231278935, -0.0038149466586508214, -0.002288334273327917, 0.002288334273327917, 0.0038149466586508214, 0.0064338161231278935, 0.007452914745133853, 0.008932129797219527, 0.009229392701099688, 0.010527198868418058, 0.011847985810513465, 0.013675330867087089, 0.013921051721290994, 0.014107741523398732, 0.017910210981486454, 0.018532459408548713, 0.0187653124401885, 0.01942105728798754, 0.01957696594515852, 0.021795541898906805, 0.022427646897401732, 0.023401317798101468, 0.024536889311244307, 0.024880809327579974, 0.025698362525092767, 0.025887391007694882, 0.02686967176644436, 0.028129552506168568, 0.031165766297465713, 0.032076783427077975, 0.032711155484437704, 0.03289180130231932, 0.036868388577507585, 0.036953786686562164, 0.038460369697261035, 0.03857708177549634, 0.041400329762652545, 0.04157649958180026, 0.04242183503907916, 0.04314733306814489, 0.04408802715571931, 0.04572491962828099, 0.04757497351690919, 0.047737530079893, 0.04792912666602962, 0.050224090011424076, 0.05103501348314575, 0.05251268305009913, 0.05454230595554818, 0.054925339757076995, 0.05704199366386662, 0.058040647831821376, 0.059037407838776625, 0.05907636522554885, 0.061742075751197965, 0.06195115343865365, 0.0629877321540442, 0.06309992497493132, 0.06332348524488077, 0.06377157172030697, 0.06641613561687439, 0.06811955298402693, 0.07127017344510522, 0.07304257991981707, 0.07434668265847695, 0.07631926080374948, 0.07649922529253576, 0.07696972582370185, 0.07719922449828796, 0.08088254740602863, 0.0814370240200953, 0.08254103942486529, 0.08369175384864268, 0.0848643069917153, 0.08560058212028274, 0.08982888089999409, 0.09072230658505422, 0.1016299041305034, 0.10243013596870491, 0.10273677306152332, 0.10452146091295247, 0.10484253542852598, 0.1096024368229068, 0.11275864429228995, 0.1142146560645211, 0.11489994619380098, 0.11740124763011342, 0.11814243739577031, 0.12222127569910947, 0.1283980995517496, 0.1287177577983344, 0.13557559051808213, 0.13664899103441613, 0.13913032628124702, 0.13956442742089903, 0.14994627459467522, 0.15206078652717814, 0.15590748209544605, 0.15904016844174224, 0.1623599728462332, 0.16362160546176235, 0.16484237519892356, 0.1789064693713693, 0.17923115749157517, 0.17968766648674928, 0.1820853136329261, 0.1841133931761701, 0.18538744733318926, 0.1870229232598624, 0.18745790819111308, 0.18858808907601282, 0.18877167811288575, 0.18936186444411152, 0.19026645430265854, 0.1951116558329767, 0.19836536657715442, 0.20221952495505774, 0.21129352229139492, 0.2144776693231931, 0.2180830858819882, 0.21943147649975464, 0.21979896660278606, 0.22217726615442768, 0.22510336644699075, 0.22589124118034648, 0.227919961360513, 0.23682873304115304, 0.24268662934988522, 0.2437097162296196, 0.24445116967069103, 0.2462235520321357, 0.24680591904880608, 0.24738671192335804, 0.2473955113981902, 0.24804499448879816, 0.249304988059164, 0.25006400239451454, 0.2502409971161638, 0.25095288130508125, 0.25327387127471757, 0.2539875720013527, 0.2545634965627493, 0.2566378578858469, 0.25687665053445413, 0.26227462824205905, 0.26648085291089235, 0.2666338448161429, 0.2682220737759482, 0.27046271907630254, 0.27157155434933256, 0.2821746088349758, 0.287284893964309, 0.29054742210792145, 0.29378225713841855, 0.2986838150763796, 0.3002462171517351, 0.3011905507168768, 0.3051051133144324, 0.3144195310139996, 0.3147664755809411, 0.316099082953608, 0.31914652786624165, 0.32190580559917364, 0.3312891283175204, 0.3326710328283608, 0.334418100324323, 0.34083186767529966, 0.34195360301042504, 0.3474814300401367, 0.3497355715237155, 0.35140758567474206, 0.35529219471809353, 0.356170205829102, 0.3566350104102197, 0.3593761709273384, 0.3628110582028559, 0.3677206458786336, 0.3718930524841081, 0.38293496146593364, 0.385672843616656, 0.3900334992727874, 0.3911219636767349, 0.39247389283820444, 0.399462268097455, 0.4101856911500031, 0.41290729195070763, 0.4195142964038215, 0.42163397569355854, 0.4272516540509306, 0.4439448902711589, 0.45057772972202004, 0.45263914484372436, 0.4605509881932589, 0.4692951646423313, 0.482383666378441, 0.49268817494548844, 0.49442768338169674, 0.4958464689043356, 0.5090480209069603, 0.530279185725927, 0.5394150094527203, 0.5402400539497964, 0.5583941274934692, 0.5710605532029679, 0.5878815952226052, 0.6086470916561867, 0.6104798348607998, 0.6195365293334537, 0.61959992475183, 0.6224799080556842, 0.641959451536511, 0.6432475254076767, 0.6463707803992377, 0.6503823787613954, 0.6530169121041588, 0.7147206698227438, 0.7220759849351598, 0.7245628823632008, 0.7429360761552188, 0.7466190036483783, 0.7513773746193134, 0.7611243616756599, 0.7698682492484907, 0.7789869995919191, 0.7832133998727533, 0.789848836023374, 0.7911435444757444, 0.7945562020195387, 0.8114562315941917, 0.8470913183167449, 0.8685338241181195, 0.8799079840841728, 0.9186826538783699, 0.9530097120055788, 0.9602591534601709, 0.966133947329489, 0.9730862995530939, 0.9752993437371588, 0.9763547740527354, 0.9872899029429585, 0.9878571202804521, 1.001945424334049, 1.0492664761534742, 1.0614576001728762, 1.1453288071774534, 1.2323521886205333, 1.241006972621295, 1.2500328261520415, 1.2679618134867274, 1.2800930763708003, 1.311916320417568, 1.3367030086269225, 1.3455103627286393, 1.3516157478209108, 1.3516627302825455, 1.3553937891765324, 1.3750409012538698, 1.390225255975148, 1.402678182817956, 1.4065991535084261, 1.407036582240258, 1.4077994769541982, 1.409693840427691, 1.4116054997924663, 1.4127371864873866, 1.4131447276760338, 1.4167679469522618, 1.4308987958691073, 1.4545450574386856, 1.456948016841024, 1.4591668645227942, 1.4603121600042968, 1.4695421365229804, 1.4760043892767285, 1.4779463752367874, 1.5084228002475104, 1.522031913318013, 1.5385122707768144, 1.5400389055534853, 1.5563052594896811, 1.601860924627827, 1.605437943963413, 1.610266090180204, 1.6148047455413437, 1.621230732248684, 1.6260240501812053, 1.6795464802035045, 1.7001150585041527, 1.7043006107763095, 1.7280190192015854, 1.7602964175215694, 3.4295509749160944], "xaxis": "x", "yaxis": "y"}], {"barmode": "relative", "legend": {"tracegroupgap": 0}, "margin": {"t": 60}, "template": {"data": {"bar": [{"error_x": {"color": "rgb(36,36,36)"}, "error_y": {"color": "rgb(36,36,36)"}, "marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "baxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "rgb(231,231,240)"}, "line": {"color": "white"}}, "header": {"fill": {"color": "rgb(183,183,191)"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "rgb(67,103,167)"}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "colorscale": {"sequential": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "sequentialminus": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]]}, "colorway": ["rgb(76,114,176)", "rgb(221,132,82)", "rgb(85,168,104)", "rgb(196,78,82)", "rgb(129,114,179)", "rgb(147,120,96)", "rgb(218,139,195)", "rgb(140,140,140)", "rgb(204,185,116)", "rgb(100,181,205)"], "font": {"color": "rgb(36,36,36)"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "rgb(234,234,242)", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "paper_bgcolor": "white", "plot_bgcolor": "rgb(234,234,242)", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "radialaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"fillcolor": "rgb(67,103,167)", "line": {"width": 0}, "opacity": 0.5}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "caxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}}}, "xaxis": {"anchor": "y", "domain": [0.0, 1.0], "title": {"text": "energy"}}, "yaxis": {"anchor": "x", "domain": [0.0, 1.0], "title": {"text": "count"}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('da5166ce-cff5-47c7-b6eb-054b9beac6a9'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); ", "x": -4.271408180852221, "xanchor": "center", "y": -4.050635932795557, "yanchor": "auto", "z": -2.868312837625343}, {"align": "center", "font": {"color": "black", "size": 16.0}, "opacity": 0.7, "showarrow": false, "text": "YMn23, -0.4605509881932589, -0.45263914484372436, -0.45057772972202004, -0.4439448902711589, -0.4272516540509306, -0.42163397569355854, -0.4195142964038215, -0.41290729195070763, -0.4101856911500031, -0.399462268097455, -0.39247389283820444, -0.3911219636767349, -0.3900334992727874, -0.385672843616656, -0.38293496146593364, -0.3718930524841081, -0.3677206458786336, -0.3628110582028559, -0.3593761709273384, -0.3566350104102197, -0.356170205829102, -0.35529219471809353, -0.35140758567474206, -0.3497355715237155, -0.3474814300401367, -0.34195360301042504, -0.34083186767529966, -0.334418100324323, -0.3326710328283608, -0.3312891283175204, -0.32190580559917364, -0.31914652786624165, -0.316099082953608, -0.3147664755809411, -0.3144195310139996, -0.3051051133144324, -0.3011905507168768, -0.3002462171517351, -0.2986838150763796, -0.29378225713841855, -0.29054742210792145, -0.287284893964309, -0.2821746088349758, -0.27157155434933256, -0.27046271907630254, -0.2682220737759482, -0.2666338448161429, -0.26648085291089235, -0.26227462824205905, -0.25687665053445413, -0.2566378578858469, -0.2545634965627493, -0.2539875720013527, -0.25327387127471757, -0.25095288130508125, -0.2502409971161638, -0.25006400239451454, -0.249304988059164, -0.24804499448879816, -0.2473955113981902, -0.24738671192335804, -0.24680591904880608, -0.2462235520321357, -0.24445116967069103, -0.2437097162296196, -0.24268662934988522, -0.23682873304115304, -0.227919961360513, -0.22589124118034648, -0.22510336644699075, -0.22217726615442768, -0.21979896660278606, -0.21943147649975464, -0.2180830858819882, -0.2144776693231931, -0.21129352229139492, -0.20221952495505774, -0.19836536657715442, -0.1951116558329767, -0.19026645430265854, -0.18936186444411152, -0.18877167811288575, -0.18858808907601282, -0.18745790819111308, -0.1870229232598624, -0.18538744733318926, -0.1841133931761701, -0.1820853136329261, -0.17968766648674928, -0.17923115749157517, -0.1789064693713693, -0.16484237519892356, -0.16362160546176235, -0.1623599728462332, -0.15904016844174224, -0.15590748209544605, -0.15206078652717814, -0.14994627459467522, -0.13956442742089903, -0.13913032628124702, -0.13664899103441613, -0.13557559051808213, -0.1287177577983344, -0.1283980995517496, -0.12222127569910947, -0.11814243739577031, -0.11740124763011342, -0.11489994619380098, -0.1142146560645211, -0.11275864429228995, -0.1096024368229068, -0.10484253542852598, -0.10452146091295247, -0.10273677306152332, -0.10243013596870491, -0.1016299041305034, -0.09072230658505422, -0.08982888089999409, -0.08560058212028274, -0.0848643069917153, -0.08369175384864268, -0.08254103942486529, -0.0814370240200953, -0.08088254740602863, -0.07719922449828796, -0.07696972582370185, -0.07649922529253576, -0.07631926080374948, -0.07434668265847695, -0.07304257991981707, -0.07127017344510522, -0.06811955298402693, -0.06641613561687439, -0.06377157172030697, -0.06332348524488077, -0.06309992497493132, -0.0629877321540442, -0.06195115343865365, -0.061742075751197965, -0.05907636522554885, -0.059037407838776625, -0.058040647831821376, -0.05704199366386662, -0.054925339757076995, -0.05454230595554818, -0.05251268305009913, -0.05103501348314575, -0.050224090011424076, -0.04792912666602962, -0.047737530079893, -0.04757497351690919, -0.04572491962828099, -0.04408802715571931, -0.04314733306814489, -0.04242183503907916, -0.04157649958180026, -0.041400329762652545, -0.03857708177549634, -0.038460369697261035, -0.036953786686562164, -0.036868388577507585, -0.03289180130231932, -0.032711155484437704, -0.032076783427077975, -0.031165766297465713, -0.028129552506168568, -0.02686967176644436, -0.025887391007694882, -0.025698362525092767, -0.024880809327579974, -0.024536889311244307, -0.023401317798101468, -0.022427646897401732, -0.021795541898906805, -0.01957696594515852, -0.01942105728798754, -0.0187653124401885, -0.018532459408548713, -0.017910210981486454, -0.014107741523398732, -0.013921051721290994, -0.013675330867087089, -0.011847985810513465, -0.010527198868418058, -0.009229392701099688, -0.008932129797219527, -0.007452914745133853, -0.0064338161231278935, -0.0038149466586508214, -0.002288334273327917, 0.002288334273327917, 0.0038149466586508214, 0.0064338161231278935, 0.007452914745133853, 0.008932129797219527, 0.009229392701099688, 0.010527198868418058, 0.011847985810513465, 0.013675330867087089, 0.013921051721290994, 0.014107741523398732, 0.017910210981486454, 0.018532459408548713, 0.0187653124401885, 0.01942105728798754, 0.01957696594515852, 0.021795541898906805, 0.022427646897401732, 0.023401317798101468, 0.024536889311244307, 0.024880809327579974, 0.025698362525092767, 0.025887391007694882, 0.02686967176644436, 0.028129552506168568, 0.031165766297465713, 0.032076783427077975, 0.032711155484437704, 0.03289180130231932, 0.036868388577507585, 0.036953786686562164, 0.038460369697261035, 0.03857708177549634, 0.041400329762652545, 0.04157649958180026, 0.04242183503907916, 0.04314733306814489, 0.04408802715571931, 0.04572491962828099, 0.04757497351690919, 0.047737530079893, 0.04792912666602962, 0.050224090011424076, 0.05103501348314575, 0.05251268305009913, 0.05454230595554818, 0.054925339757076995, 0.05704199366386662, 0.058040647831821376, 0.059037407838776625, 0.05907636522554885, 0.061742075751197965, 0.06195115343865365, 0.0629877321540442, 0.06309992497493132, 0.06332348524488077, 0.06377157172030697, 0.06641613561687439, 0.06811955298402693, 0.07127017344510522, 0.07304257991981707, 0.07434668265847695, 0.07631926080374948, 0.07649922529253576, 0.07696972582370185, 0.07719922449828796, 0.08088254740602863, 0.0814370240200953, 0.08254103942486529, 0.08369175384864268, 0.0848643069917153, 0.08560058212028274, 0.08982888089999409, 0.09072230658505422, 0.1016299041305034, 0.10243013596870491, 0.10273677306152332, 0.10452146091295247, 0.10484253542852598, 0.1096024368229068, 0.11275864429228995, 0.1142146560645211, 0.11489994619380098, 0.11740124763011342, 0.11814243739577031, 0.12222127569910947, 0.1283980995517496, 0.1287177577983344, 0.13557559051808213, 0.13664899103441613, 0.13913032628124702, 0.13956442742089903, 0.14994627459467522, 0.15206078652717814, 0.15590748209544605, 0.15904016844174224, 0.1623599728462332, 0.16362160546176235, 0.16484237519892356, 0.1789064693713693, 0.17923115749157517, 0.17968766648674928, 0.1820853136329261, 0.1841133931761701, 0.18538744733318926, 0.1870229232598624, 0.18745790819111308, 0.18858808907601282, 0.18877167811288575, 0.18936186444411152, 0.19026645430265854, 0.1951116558329767, 0.19836536657715442, 0.20221952495505774, 0.21129352229139492, 0.2144776693231931, 0.2180830858819882, 0.21943147649975464, 0.21979896660278606, 0.22217726615442768, 0.22510336644699075, 0.22589124118034648, 0.227919961360513, 0.23682873304115304, 0.24268662934988522, 0.2437097162296196, 0.24445116967069103, 0.2462235520321357, 0.24680591904880608, 0.24738671192335804, 0.2473955113981902, 0.24804499448879816, 0.249304988059164, 0.25006400239451454, 0.2502409971161638, 0.25095288130508125, 0.25327387127471757, 0.2539875720013527, 0.2545634965627493, 0.2566378578858469, 0.25687665053445413, 0.26227462824205905, 0.26648085291089235, 0.2666338448161429, 0.2682220737759482, 0.27046271907630254, 0.27157155434933256, 0.2821746088349758, 0.287284893964309, 0.29054742210792145, 0.29378225713841855, 0.2986838150763796, 0.3002462171517351, 0.3011905507168768, 0.3051051133144324, 0.3144195310139996, 0.3147664755809411, 0.316099082953608, 0.31914652786624165, 0.32190580559917364, 0.3312891283175204, 0.3326710328283608, 0.334418100324323, 0.34083186767529966, 0.34195360301042504, 0.3474814300401367, 0.3497355715237155, 0.35140758567474206, 0.35529219471809353, 0.356170205829102, 0.3566350104102197, 0.3593761709273384, 0.3628110582028559, 0.3677206458786336, 0.3718930524841081, 0.38293496146593364, 0.385672843616656, 0.3900334992727874, 0.3911219636767349, 0.39247389283820444, 0.399462268097455, 0.4101856911500031, 0.41290729195070763, 0.4195142964038215, 0.42163397569355854, 0.4272516540509306, 0.4439448902711589, 0.45057772972202004, 0.45263914484372436, 0.4605509881932589, 0.4692951646423313, 0.482383666378441, 0.49268817494548844, 0.49442768338169674, 0.4958464689043356, 0.5090480209069603, 0.530279185725927, 0.5394150094527203, 0.5402400539497964, 0.5583941274934692, 0.5710605532029679, 0.5878815952226052, 0.6086470916561867, 0.6104798348607998, 0.6195365293334537, 0.61959992475183, 0.6224799080556842, 0.641959451536511, 0.6432475254076767, 0.6463707803992377, 0.6503823787613954, 0.6530169121041588, 0.7147206698227438, 0.7220759849351598, 0.7245628823632008, 0.7429360761552188, 0.7466190036483783, 0.7513773746193134, 0.7611243616756599, 0.7698682492484907, 0.7789869995919191, 0.7832133998727533, 0.789848836023374, 0.7911435444757444, 0.7945562020195387, 0.8114562315941917, 0.8470913183167449, 0.8685338241181195, 0.8799079840841728, 0.9186826538783699, 0.9530097120055788, 0.9602591534601709, 0.966133947329489, 0.9730862995530939, 0.9752993437371588, 0.9763547740527354, 0.9872899029429585, 0.9878571202804521, 1.001945424334049, 1.0492664761534742, 1.0614576001728762, 1.1453288071774534, 1.2323521886205333, 1.241006972621295, 1.2500328261520415, 1.2679618134867274, 1.2800930763708003, 1.311916320417568, 1.3367030086269225, 1.3455103627286393, 1.3516157478209108, 1.3516627302825455, 1.3553937891765324, 1.3750409012538698, 1.390225255975148, 1.402678182817956, 1.4065991535084261, 1.407036582240258, 1.4077994769541982, 1.409693840427691, 1.4116054997924663, 1.4127371864873866, 1.4131447276760338, 1.4167679469522618, 1.4308987958691073, 1.4545450574386856, 1.456948016841024, 1.4591668645227942, 1.4603121600042968, 1.4695421365229804, 1.4760043892767285, 1.4779463752367874, 1.5084228002475104, 1.522031913318013, 1.5385122707768144, 1.5400389055534853, 1.5563052594896811, 1.601860924627827, 1.605437943963413, 1.610266090180204, 1.6148047455413437, 1.621230732248684, 1.6260240501812053, 1.6795464802035045, 1.7001150585041527, 1.7043006107763095, 1.7280190192015854, 1.7602964175215694, 3.4295509749160944], "xaxis": "x", "yaxis": "y"}], {"barmode": "relative", "legend": {"tracegroupgap": 0}, "margin": {"t": 60}, "template": {"data": {"bar": [{"error_x": {"color": "rgb(36,36,36)"}, "error_y": {"color": "rgb(36,36,36)"}, "marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "baxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "rgb(231,231,240)"}, "line": {"color": "white"}}, "header": {"fill": {"color": "rgb(183,183,191)"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "rgb(67,103,167)"}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "colorscale": {"sequential": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "sequentialminus": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]]}, "colorway": ["rgb(76,114,176)", "rgb(221,132,82)", "rgb(85,168,104)", "rgb(196,78,82)", "rgb(129,114,179)", "rgb(147,120,96)", "rgb(218,139,195)", "rgb(140,140,140)", "rgb(204,185,116)", "rgb(100,181,205)"], "font": {"color": "rgb(36,36,36)"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "rgb(234,234,242)", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "paper_bgcolor": "white", "plot_bgcolor": "rgb(234,234,242)", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "radialaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"fillcolor": "rgb(67,103,167)", "line": {"width": 0}, "opacity": 0.5}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "caxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}}}, "xaxis": {"anchor": "y", "domain": [0.0, 1.0], "title": {"text": "energy"}}, "yaxis": {"anchor": "x", "domain": [0.0, 1.0], "title": {"text": "count"}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('da5166ce-cff5-47c7-b6eb-054b9beac6a9'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); O5881932589, -0.45263914484372436, -0.45057772972202004, -0.4439448902711589, -0.4272516540509306, -0.42163397569355854, -0.4195142964038215, -0.41290729195070763, -0.4101856911500031, -0.399462268097455, -0.39247389283820444, -0.3911219636767349, -0.3900334992727874, -0.385672843616656, -0.38293496146593364, -0.3718930524841081, -0.3677206458786336, -0.3628110582028559, -0.3593761709273384, -0.3566350104102197, -0.356170205829102, -0.35529219471809353, -0.35140758567474206, -0.3497355715237155, -0.3474814300401367, -0.34195360301042504, -0.34083186767529966, -0.334418100324323, -0.3326710328283608, -0.3312891283175204, -0.32190580559917364, -0.31914652786624165, -0.316099082953608, -0.3147664755809411, -0.3144195310139996, -0.3051051133144324, -0.3011905507168768, -0.3002462171517351, -0.2986838150763796, -0.29378225713841855, -0.29054742210792145, -0.287284893964309, -0.2821746088349758, -0.27157155434933256, -0.27046271907630254, -0.2682220737759482, -0.2666338448161429, -0.26648085291089235, -0.26227462824205905, -0.25687665053445413, -0.2566378578858469, -0.2545634965627493, -0.2539875720013527, -0.25327387127471757, -0.25095288130508125, -0.2502409971161638, -0.25006400239451454, -0.249304988059164, -0.24804499448879816, -0.2473955113981902, -0.24738671192335804, -0.24680591904880608, -0.2462235520321357, -0.24445116967069103, -0.2437097162296196, -0.24268662934988522, -0.23682873304115304, -0.227919961360513, -0.22589124118034648, -0.22510336644699075, -0.22217726615442768, -0.21979896660278606, -0.21943147649975464, -0.2180830858819882, -0.2144776693231931, -0.21129352229139492, -0.20221952495505774, -0.19836536657715442, -0.1951116558329767, -0.19026645430265854, -0.18936186444411152, -0.18877167811288575, -0.18858808907601282, -0.18745790819111308, -0.1870229232598624, -0.18538744733318926, -0.1841133931761701, -0.1820853136329261, -0.17968766648674928, -0.17923115749157517, -0.1789064693713693, -0.16484237519892356, -0.16362160546176235, -0.1623599728462332, -0.15904016844174224, -0.15590748209544605, -0.15206078652717814, -0.14994627459467522, -0.13956442742089903, -0.13913032628124702, -0.13664899103441613, -0.13557559051808213, -0.1287177577983344, -0.1283980995517496, -0.12222127569910947, -0.11814243739577031, -0.11740124763011342, -0.11489994619380098, -0.1142146560645211, -0.11275864429228995, -0.1096024368229068, -0.10484253542852598, -0.10452146091295247, -0.10273677306152332, -0.10243013596870491, -0.1016299041305034, -0.09072230658505422, -0.08982888089999409, -0.08560058212028274, -0.0848643069917153, -0.08369175384864268, -0.08254103942486529, -0.0814370240200953, -0.08088254740602863, -0.07719922449828796, -0.07696972582370185, -0.07649922529253576, -0.07631926080374948, -0.07434668265847695, -0.07304257991981707, -0.07127017344510522, -0.06811955298402693, -0.06641613561687439, -0.06377157172030697, -0.06332348524488077, -0.06309992497493132, -0.0629877321540442, -0.06195115343865365, -0.061742075751197965, -0.05907636522554885, -0.059037407838776625, -0.058040647831821376, -0.05704199366386662, -0.054925339757076995, -0.05454230595554818, -0.05251268305009913, -0.05103501348314575, -0.050224090011424076, -0.04792912666602962, -0.047737530079893, -0.04757497351690919, -0.04572491962828099, -0.04408802715571931, -0.04314733306814489, -0.04242183503907916, -0.04157649958180026, -0.041400329762652545, -0.03857708177549634, -0.038460369697261035, -0.036953786686562164, -0.036868388577507585, -0.03289180130231932, -0.032711155484437704, -0.032076783427077975, -0.031165766297465713, -0.028129552506168568, -0.02686967176644436, -0.025887391007694882, -0.025698362525092767, -0.024880809327579974, -0.024536889311244307, -0.023401317798101468, -0.022427646897401732, -0.021795541898906805, -0.01957696594515852, -0.01942105728798754, -0.0187653124401885, -0.018532459408548713, -0.017910210981486454, -0.014107741523398732, -0.013921051721290994, -0.013675330867087089, -0.011847985810513465, -0.010527198868418058, -0.009229392701099688, -0.008932129797219527, -0.007452914745133853, -0.0064338161231278935, -0.0038149466586508214, -0.002288334273327917, 0.002288334273327917, 0.0038149466586508214, 0.0064338161231278935, 0.007452914745133853, 0.008932129797219527, 0.009229392701099688, 0.010527198868418058, 0.011847985810513465, 0.013675330867087089, 0.013921051721290994, 0.014107741523398732, 0.017910210981486454, 0.018532459408548713, 0.0187653124401885, 0.01942105728798754, 0.01957696594515852, 0.021795541898906805, 0.022427646897401732, 0.023401317798101468, 0.024536889311244307, 0.024880809327579974, 0.025698362525092767, 0.025887391007694882, 0.02686967176644436, 0.028129552506168568, 0.031165766297465713, 0.032076783427077975, 0.032711155484437704, 0.03289180130231932, 0.036868388577507585, 0.036953786686562164, 0.038460369697261035, 0.03857708177549634, 0.041400329762652545, 0.04157649958180026, 0.04242183503907916, 0.04314733306814489, 0.04408802715571931, 0.04572491962828099, 0.04757497351690919, 0.047737530079893, 0.04792912666602962, 0.050224090011424076, 0.05103501348314575, 0.05251268305009913, 0.05454230595554818, 0.054925339757076995, 0.05704199366386662, 0.058040647831821376, 0.059037407838776625, 0.05907636522554885, 0.061742075751197965, 0.06195115343865365, 0.0629877321540442, 0.06309992497493132, 0.06332348524488077, 0.06377157172030697, 0.06641613561687439, 0.06811955298402693, 0.07127017344510522, 0.07304257991981707, 0.07434668265847695, 0.07631926080374948, 0.07649922529253576, 0.07696972582370185, 0.07719922449828796, 0.08088254740602863, 0.0814370240200953, 0.08254103942486529, 0.08369175384864268, 0.0848643069917153, 0.08560058212028274, 0.08982888089999409, 0.09072230658505422, 0.1016299041305034, 0.10243013596870491, 0.10273677306152332, 0.10452146091295247, 0.10484253542852598, 0.1096024368229068, 0.11275864429228995, 0.1142146560645211, 0.11489994619380098, 0.11740124763011342, 0.11814243739577031, 0.12222127569910947, 0.1283980995517496, 0.1287177577983344, 0.13557559051808213, 0.13664899103441613, 0.13913032628124702, 0.13956442742089903, 0.14994627459467522, 0.15206078652717814, 0.15590748209544605, 0.15904016844174224, 0.1623599728462332, 0.16362160546176235, 0.16484237519892356, 0.1789064693713693, 0.17923115749157517, 0.17968766648674928, 0.1820853136329261, 0.1841133931761701, 0.18538744733318926, 0.1870229232598624, 0.18745790819111308, 0.18858808907601282, 0.18877167811288575, 0.18936186444411152, 0.19026645430265854, 0.1951116558329767, 0.19836536657715442, 0.20221952495505774, 0.21129352229139492, 0.2144776693231931, 0.2180830858819882, 0.21943147649975464, 0.21979896660278606, 0.22217726615442768, 0.22510336644699075, 0.22589124118034648, 0.227919961360513, 0.23682873304115304, 0.24268662934988522, 0.2437097162296196, 0.24445116967069103, 0.2462235520321357, 0.24680591904880608, 0.24738671192335804, 0.2473955113981902, 0.24804499448879816, 0.249304988059164, 0.25006400239451454, 0.2502409971161638, 0.25095288130508125, 0.25327387127471757, 0.2539875720013527, 0.2545634965627493, 0.2566378578858469, 0.25687665053445413, 0.26227462824205905, 0.26648085291089235, 0.2666338448161429, 0.2682220737759482, 0.27046271907630254, 0.27157155434933256, 0.2821746088349758, 0.287284893964309, 0.29054742210792145, 0.29378225713841855, 0.2986838150763796, 0.3002462171517351, 0.3011905507168768, 0.3051051133144324, 0.3144195310139996, 0.3147664755809411, 0.316099082953608, 0.31914652786624165, 0.32190580559917364, 0.3312891283175204, 0.3326710328283608, 0.334418100324323, 0.34083186767529966, 0.34195360301042504, 0.3474814300401367, 0.3497355715237155, 0.35140758567474206, 0.35529219471809353, 0.356170205829102, 0.3566350104102197, 0.3593761709273384, 0.3628110582028559, 0.3677206458786336, 0.3718930524841081, 0.38293496146593364, 0.385672843616656, 0.3900334992727874, 0.3911219636767349, 0.39247389283820444, 0.399462268097455, 0.4101856911500031, 0.41290729195070763, 0.4195142964038215, 0.42163397569355854, 0.4272516540509306, 0.4439448902711589, 0.45057772972202004, 0.45263914484372436, 0.4605509881932589, 0.4692951646423313, 0.482383666378441, 0.49268817494548844, 0.49442768338169674, 0.4958464689043356, 0.5090480209069603, 0.530279185725927, 0.5394150094527203, 0.5402400539497964, 0.5583941274934692, 0.5710605532029679, 0.5878815952226052, 0.6086470916561867, 0.6104798348607998, 0.6195365293334537, 0.61959992475183, 0.6224799080556842, 0.641959451536511, 0.6432475254076767, 0.6463707803992377, 0.6503823787613954, 0.6530169121041588, 0.7147206698227438, 0.7220759849351598, 0.7245628823632008, 0.7429360761552188, 0.7466190036483783, 0.7513773746193134, 0.7611243616756599, 0.7698682492484907, 0.7789869995919191, 0.7832133998727533, 0.789848836023374, 0.7911435444757444, 0.7945562020195387, 0.8114562315941917, 0.8470913183167449, 0.8685338241181195, 0.8799079840841728, 0.9186826538783699, 0.9530097120055788, 0.9602591534601709, 0.966133947329489, 0.9730862995530939, 0.9752993437371588, 0.9763547740527354, 0.9872899029429585, 0.9878571202804521, 1.001945424334049, 1.0492664761534742, 1.0614576001728762, 1.1453288071774534, 1.2323521886205333, 1.241006972621295, 1.2500328261520415, 1.2679618134867274, 1.2800930763708003, 1.311916320417568, 1.3367030086269225, 1.3455103627286393, 1.3516157478209108, 1.3516627302825455, 1.3553937891765324, 1.3750409012538698, 1.390225255975148, 1.402678182817956, 1.4065991535084261, 1.407036582240258, 1.4077994769541982, 1.409693840427691, 1.4116054997924663, 1.4127371864873866, 1.4131447276760338, 1.4167679469522618, 1.4308987958691073, 1.4545450574386856, 1.456948016841024, 1.4591668645227942, 1.4603121600042968, 1.4695421365229804, 1.4760043892767285, 1.4779463752367874, 1.5084228002475104, 1.522031913318013, 1.5385122707768144, 1.5400389055534853, 1.5563052594896811, 1.601860924627827, 1.605437943963413, 1.610266090180204, 1.6148047455413437, 1.621230732248684, 1.6260240501812053, 1.6795464802035045, 1.7001150585041527, 1.7043006107763095, 1.7280190192015854, 1.7602964175215694, 3.4295509749160944], "xaxis": "x", "yaxis": "y"}], {"barmode": "relative", "legend": {"tracegroupgap": 0}, "margin": {"t": 60}, "template": {"data": {"bar": [{"error_x": {"color": "rgb(36,36,36)"}, "error_y": {"color": "rgb(36,36,36)"}, "marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "baxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "rgb(231,231,240)"}, "line": {"color": "white"}}, "header": {"fill": {"color": "rgb(183,183,191)"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "rgb(67,103,167)"}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "colorscale": {"sequential": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "sequentialminus": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]]}, "colorway": ["rgb(76,114,176)", "rgb(221,132,82)", "rgb(85,168,104)", "rgb(196,78,82)", "rgb(129,114,179)", "rgb(147,120,96)", "rgb(218,139,195)", "rgb(140,140,140)", "rgb(204,185,116)", "rgb(100,181,205)"], "font": {"color": "rgb(36,36,36)"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "rgb(234,234,242)", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "paper_bgcolor": "white", "plot_bgcolor": "rgb(234,234,242)", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "radialaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"fillcolor": "rgb(67,103,167)", "line": {"width": 0}, "opacity": 0.5}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "caxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}}}, "xaxis": {"anchor": "y", "domain": [0.0, 1.0], "title": {"text": "energy"}}, "yaxis": {"anchor": "x", "domain": [0.0, 1.0], "title": {"text": "count"}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('da5166ce-cff5-47c7-b6eb-054b9beac6a9'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); ", "x": -8.43693887604627, "xanchor": "center", "y": -3.2896525805608112, "yanchor": "auto", "z": -0.3467830622162665}, {"align": "center", "font": {"color": "black", "size": 16.0}, "opacity": 0.7, "showarrow": false, "text": "Mn", "x": -4.97271125514021, "xanchor": "center", "y": 0.0, "yanchor": "auto", "z": -5.245122563239553}, {"align": "center", "font": {"color": "black", "size": 16.0}, "opacity": 0.7, "showarrow": false, "text": "Y", "x": 0.0, "xanchor": "center", "y": -5.2797294055823185, "yanchor": "auto", "z": -6.357959145763412}, {"align": "center", "font": {"color": "black", "size": 16.0}, "opacity": 0.7, "showarrow": false, "text": "MnO25, -0.316099082953608, -0.3147664755809411, -0.3144195310139996, -0.3051051133144324, -0.3011905507168768, -0.3002462171517351, -0.2986838150763796, -0.29378225713841855, -0.29054742210792145, -0.287284893964309, -0.2821746088349758, -0.27157155434933256, -0.27046271907630254, -0.2682220737759482, -0.2666338448161429, -0.26648085291089235, -0.26227462824205905, -0.25687665053445413, -0.2566378578858469, -0.2545634965627493, -0.2539875720013527, -0.25327387127471757, -0.25095288130508125, -0.2502409971161638, -0.25006400239451454, -0.249304988059164, -0.24804499448879816, -0.2473955113981902, -0.24738671192335804, -0.24680591904880608, -0.2462235520321357, -0.24445116967069103, -0.2437097162296196, -0.24268662934988522, -0.23682873304115304, -0.227919961360513, -0.22589124118034648, -0.22510336644699075, -0.22217726615442768, -0.21979896660278606, -0.21943147649975464, -0.2180830858819882, -0.2144776693231931, -0.21129352229139492, -0.20221952495505774, -0.19836536657715442, -0.1951116558329767, -0.19026645430265854, -0.18936186444411152, -0.18877167811288575, -0.18858808907601282, -0.18745790819111308, -0.1870229232598624, -0.18538744733318926, -0.1841133931761701, -0.1820853136329261, -0.17968766648674928, -0.17923115749157517, -0.1789064693713693, -0.16484237519892356, -0.16362160546176235, -0.1623599728462332, -0.15904016844174224, -0.15590748209544605, -0.15206078652717814, -0.14994627459467522, -0.13956442742089903, -0.13913032628124702, -0.13664899103441613, -0.13557559051808213, -0.1287177577983344, -0.1283980995517496, -0.12222127569910947, -0.11814243739577031, -0.11740124763011342, -0.11489994619380098, -0.1142146560645211, -0.11275864429228995, -0.1096024368229068, -0.10484253542852598, -0.10452146091295247, -0.10273677306152332, -0.10243013596870491, -0.1016299041305034, -0.09072230658505422, -0.08982888089999409, -0.08560058212028274, -0.0848643069917153, -0.08369175384864268, -0.08254103942486529, -0.0814370240200953, -0.08088254740602863, -0.07719922449828796, -0.07696972582370185, -0.07649922529253576, -0.07631926080374948, -0.07434668265847695, -0.07304257991981707, -0.07127017344510522, -0.06811955298402693, -0.06641613561687439, -0.06377157172030697, -0.06332348524488077, -0.06309992497493132, -0.0629877321540442, -0.06195115343865365, -0.061742075751197965, -0.05907636522554885, -0.059037407838776625, -0.058040647831821376, -0.05704199366386662, -0.054925339757076995, -0.05454230595554818, -0.05251268305009913, -0.05103501348314575, -0.050224090011424076, -0.04792912666602962, -0.047737530079893, -0.04757497351690919, -0.04572491962828099, -0.04408802715571931, -0.04314733306814489, -0.04242183503907916, -0.04157649958180026, -0.041400329762652545, -0.03857708177549634, -0.038460369697261035, -0.036953786686562164, -0.036868388577507585, -0.03289180130231932, -0.032711155484437704, -0.032076783427077975, -0.031165766297465713, -0.028129552506168568, -0.02686967176644436, -0.025887391007694882, -0.025698362525092767, -0.024880809327579974, -0.024536889311244307, -0.023401317798101468, -0.022427646897401732, -0.021795541898906805, -0.01957696594515852, -0.01942105728798754, -0.0187653124401885, -0.018532459408548713, -0.017910210981486454, -0.014107741523398732, -0.013921051721290994, -0.013675330867087089, -0.011847985810513465, -0.010527198868418058, -0.009229392701099688, -0.008932129797219527, -0.007452914745133853, -0.0064338161231278935, -0.0038149466586508214, -0.002288334273327917, 0.002288334273327917, 0.0038149466586508214, 0.0064338161231278935, 0.007452914745133853, 0.008932129797219527, 0.009229392701099688, 0.010527198868418058, 0.011847985810513465, 0.013675330867087089, 0.013921051721290994, 0.014107741523398732, 0.017910210981486454, 0.018532459408548713, 0.0187653124401885, 0.01942105728798754, 0.01957696594515852, 0.021795541898906805, 0.022427646897401732, 0.023401317798101468, 0.024536889311244307, 0.024880809327579974, 0.025698362525092767, 0.025887391007694882, 0.02686967176644436, 0.028129552506168568, 0.031165766297465713, 0.032076783427077975, 0.032711155484437704, 0.03289180130231932, 0.036868388577507585, 0.036953786686562164, 0.038460369697261035, 0.03857708177549634, 0.041400329762652545, 0.04157649958180026, 0.04242183503907916, 0.04314733306814489, 0.04408802715571931, 0.04572491962828099, 0.04757497351690919, 0.047737530079893, 0.04792912666602962, 0.050224090011424076, 0.05103501348314575, 0.05251268305009913, 0.05454230595554818, 0.054925339757076995, 0.05704199366386662, 0.058040647831821376, 0.059037407838776625, 0.05907636522554885, 0.061742075751197965, 0.06195115343865365, 0.0629877321540442, 0.06309992497493132, 0.06332348524488077, 0.06377157172030697, 0.06641613561687439, 0.06811955298402693, 0.07127017344510522, 0.07304257991981707, 0.07434668265847695, 0.07631926080374948, 0.07649922529253576, 0.07696972582370185, 0.07719922449828796, 0.08088254740602863, 0.0814370240200953, 0.08254103942486529, 0.08369175384864268, 0.0848643069917153, 0.08560058212028274, 0.08982888089999409, 0.09072230658505422, 0.1016299041305034, 0.10243013596870491, 0.10273677306152332, 0.10452146091295247, 0.10484253542852598, 0.1096024368229068, 0.11275864429228995, 0.1142146560645211, 0.11489994619380098, 0.11740124763011342, 0.11814243739577031, 0.12222127569910947, 0.1283980995517496, 0.1287177577983344, 0.13557559051808213, 0.13664899103441613, 0.13913032628124702, 0.13956442742089903, 0.14994627459467522, 0.15206078652717814, 0.15590748209544605, 0.15904016844174224, 0.1623599728462332, 0.16362160546176235, 0.16484237519892356, 0.1789064693713693, 0.17923115749157517, 0.17968766648674928, 0.1820853136329261, 0.1841133931761701, 0.18538744733318926, 0.1870229232598624, 0.18745790819111308, 0.18858808907601282, 0.18877167811288575, 0.18936186444411152, 0.19026645430265854, 0.1951116558329767, 0.19836536657715442, 0.20221952495505774, 0.21129352229139492, 0.2144776693231931, 0.2180830858819882, 0.21943147649975464, 0.21979896660278606, 0.22217726615442768, 0.22510336644699075, 0.22589124118034648, 0.227919961360513, 0.23682873304115304, 0.24268662934988522, 0.2437097162296196, 0.24445116967069103, 0.2462235520321357, 0.24680591904880608, 0.24738671192335804, 0.2473955113981902, 0.24804499448879816, 0.249304988059164, 0.25006400239451454, 0.2502409971161638, 0.25095288130508125, 0.25327387127471757, 0.2539875720013527, 0.2545634965627493, 0.2566378578858469, 0.25687665053445413, 0.26227462824205905, 0.26648085291089235, 0.2666338448161429, 0.2682220737759482, 0.27046271907630254, 0.27157155434933256, 0.2821746088349758, 0.287284893964309, 0.29054742210792145, 0.29378225713841855, 0.2986838150763796, 0.3002462171517351, 0.3011905507168768, 0.3051051133144324, 0.3144195310139996, 0.3147664755809411, 0.316099082953608, 0.31914652786624165, 0.32190580559917364, 0.3312891283175204, 0.3326710328283608, 0.334418100324323, 0.34083186767529966, 0.34195360301042504, 0.3474814300401367, 0.3497355715237155, 0.35140758567474206, 0.35529219471809353, 0.356170205829102, 0.3566350104102197, 0.3593761709273384, 0.3628110582028559, 0.3677206458786336, 0.3718930524841081, 0.38293496146593364, 0.385672843616656, 0.3900334992727874, 0.3911219636767349, 0.39247389283820444, 0.399462268097455, 0.4101856911500031, 0.41290729195070763, 0.4195142964038215, 0.42163397569355854, 0.4272516540509306, 0.4439448902711589, 0.45057772972202004, 0.45263914484372436, 0.4605509881932589, 0.4692951646423313, 0.482383666378441, 0.49268817494548844, 0.49442768338169674, 0.4958464689043356, 0.5090480209069603, 0.530279185725927, 0.5394150094527203, 0.5402400539497964, 0.5583941274934692, 0.5710605532029679, 0.5878815952226052, 0.6086470916561867, 0.6104798348607998, 0.6195365293334537, 0.61959992475183, 0.6224799080556842, 0.641959451536511, 0.6432475254076767, 0.6463707803992377, 0.6503823787613954, 0.6530169121041588, 0.7147206698227438, 0.7220759849351598, 0.7245628823632008, 0.7429360761552188, 0.7466190036483783, 0.7513773746193134, 0.7611243616756599, 0.7698682492484907, 0.7789869995919191, 0.7832133998727533, 0.789848836023374, 0.7911435444757444, 0.7945562020195387, 0.8114562315941917, 0.8470913183167449, 0.8685338241181195, 0.8799079840841728, 0.9186826538783699, 0.9530097120055788, 0.9602591534601709, 0.966133947329489, 0.9730862995530939, 0.9752993437371588, 0.9763547740527354, 0.9872899029429585, 0.9878571202804521, 1.001945424334049, 1.0492664761534742, 1.0614576001728762, 1.1453288071774534, 1.2323521886205333, 1.241006972621295, 1.2500328261520415, 1.2679618134867274, 1.2800930763708003, 1.311916320417568, 1.3367030086269225, 1.3455103627286393, 1.3516157478209108, 1.3516627302825455, 1.3553937891765324, 1.3750409012538698, 1.390225255975148, 1.402678182817956, 1.4065991535084261, 1.407036582240258, 1.4077994769541982, 1.409693840427691, 1.4116054997924663, 1.4127371864873866, 1.4131447276760338, 1.4167679469522618, 1.4308987958691073, 1.4545450574386856, 1.456948016841024, 1.4591668645227942, 1.4603121600042968, 1.4695421365229804, 1.4760043892767285, 1.4779463752367874, 1.5084228002475104, 1.522031913318013, 1.5385122707768144, 1.5400389055534853, 1.5563052594896811, 1.601860924627827, 1.605437943963413, 1.610266090180204, 1.6148047455413437, 1.621230732248684, 1.6260240501812053, 1.6795464802035045, 1.7001150585041527, 1.7043006107763095, 1.7280190192015854, 1.7602964175215694, 3.4295509749160944], "xaxis": "x", "yaxis": "y"}], {"barmode": "relative", "legend": {"tracegroupgap": 0}, "margin": {"t": 60}, "template": {"data": {"bar": [{"error_x": {"color": "rgb(36,36,36)"}, "error_y": {"color": "rgb(36,36,36)"}, "marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "baxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "rgb(231,231,240)"}, "line": {"color": "white"}}, "header": {"fill": {"color": "rgb(183,183,191)"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "rgb(67,103,167)"}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "colorscale": {"sequential": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "sequentialminus": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]]}, "colorway": ["rgb(76,114,176)", "rgb(221,132,82)", "rgb(85,168,104)", "rgb(196,78,82)", "rgb(129,114,179)", "rgb(147,120,96)", "rgb(218,139,195)", "rgb(140,140,140)", "rgb(204,185,116)", "rgb(100,181,205)"], "font": {"color": "rgb(36,36,36)"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "rgb(234,234,242)", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "paper_bgcolor": "white", "plot_bgcolor": "rgb(234,234,242)", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "radialaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"fillcolor": "rgb(67,103,167)", "line": {"width": 0}, "opacity": 0.5}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "caxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}}}, "xaxis": {"anchor": "y", "domain": [0.0, 1.0], "title": {"text": "energy"}}, "yaxis": {"anchor": "x", "domain": [0.0, 1.0], "title": {"text": "count"}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('da5166ce-cff5-47c7-b6eb-054b9beac6a9'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); ", "x": -9.465277774845795, "xanchor": "center", "y": -3.4925214466434893, "yanchor": "auto", "z": -0.15568199690834714}, {"align": "center", "font": {"color": "black", "size": 16.0}, "opacity": 0.7, "showarrow": false, "text": "YMnO3434933256, -0.27046271907630254, -0.2682220737759482, -0.2666338448161429, -0.26648085291089235, -0.26227462824205905, -0.25687665053445413, -0.2566378578858469, -0.2545634965627493, -0.2539875720013527, -0.25327387127471757, -0.25095288130508125, -0.2502409971161638, -0.25006400239451454, -0.249304988059164, -0.24804499448879816, -0.2473955113981902, -0.24738671192335804, -0.24680591904880608, -0.2462235520321357, -0.24445116967069103, -0.2437097162296196, -0.24268662934988522, -0.23682873304115304, -0.227919961360513, -0.22589124118034648, -0.22510336644699075, -0.22217726615442768, -0.21979896660278606, -0.21943147649975464, -0.2180830858819882, -0.2144776693231931, -0.21129352229139492, -0.20221952495505774, -0.19836536657715442, -0.1951116558329767, -0.19026645430265854, -0.18936186444411152, -0.18877167811288575, -0.18858808907601282, -0.18745790819111308, -0.1870229232598624, -0.18538744733318926, -0.1841133931761701, -0.1820853136329261, -0.17968766648674928, -0.17923115749157517, -0.1789064693713693, -0.16484237519892356, -0.16362160546176235, -0.1623599728462332, -0.15904016844174224, -0.15590748209544605, -0.15206078652717814, -0.14994627459467522, -0.13956442742089903, -0.13913032628124702, -0.13664899103441613, -0.13557559051808213, -0.1287177577983344, -0.1283980995517496, -0.12222127569910947, -0.11814243739577031, -0.11740124763011342, -0.11489994619380098, -0.1142146560645211, -0.11275864429228995, -0.1096024368229068, -0.10484253542852598, -0.10452146091295247, -0.10273677306152332, -0.10243013596870491, -0.1016299041305034, -0.09072230658505422, -0.08982888089999409, -0.08560058212028274, -0.0848643069917153, -0.08369175384864268, -0.08254103942486529, -0.0814370240200953, -0.08088254740602863, -0.07719922449828796, -0.07696972582370185, -0.07649922529253576, -0.07631926080374948, -0.07434668265847695, -0.07304257991981707, -0.07127017344510522, -0.06811955298402693, -0.06641613561687439, -0.06377157172030697, -0.06332348524488077, -0.06309992497493132, -0.0629877321540442, -0.06195115343865365, -0.061742075751197965, -0.05907636522554885, -0.059037407838776625, -0.058040647831821376, -0.05704199366386662, -0.054925339757076995, -0.05454230595554818, -0.05251268305009913, -0.05103501348314575, -0.050224090011424076, -0.04792912666602962, -0.047737530079893, -0.04757497351690919, -0.04572491962828099, -0.04408802715571931, -0.04314733306814489, -0.04242183503907916, -0.04157649958180026, -0.041400329762652545, -0.03857708177549634, -0.038460369697261035, -0.036953786686562164, -0.036868388577507585, -0.03289180130231932, -0.032711155484437704, -0.032076783427077975, -0.031165766297465713, -0.028129552506168568, -0.02686967176644436, -0.025887391007694882, -0.025698362525092767, -0.024880809327579974, -0.024536889311244307, -0.023401317798101468, -0.022427646897401732, -0.021795541898906805, -0.01957696594515852, -0.01942105728798754, -0.0187653124401885, -0.018532459408548713, -0.017910210981486454, -0.014107741523398732, -0.013921051721290994, -0.013675330867087089, -0.011847985810513465, -0.010527198868418058, -0.009229392701099688, -0.008932129797219527, -0.007452914745133853, -0.0064338161231278935, -0.0038149466586508214, -0.002288334273327917, 0.002288334273327917, 0.0038149466586508214, 0.0064338161231278935, 0.007452914745133853, 0.008932129797219527, 0.009229392701099688, 0.010527198868418058, 0.011847985810513465, 0.013675330867087089, 0.013921051721290994, 0.014107741523398732, 0.017910210981486454, 0.018532459408548713, 0.0187653124401885, 0.01942105728798754, 0.01957696594515852, 0.021795541898906805, 0.022427646897401732, 0.023401317798101468, 0.024536889311244307, 0.024880809327579974, 0.025698362525092767, 0.025887391007694882, 0.02686967176644436, 0.028129552506168568, 0.031165766297465713, 0.032076783427077975, 0.032711155484437704, 0.03289180130231932, 0.036868388577507585, 0.036953786686562164, 0.038460369697261035, 0.03857708177549634, 0.041400329762652545, 0.04157649958180026, 0.04242183503907916, 0.04314733306814489, 0.04408802715571931, 0.04572491962828099, 0.04757497351690919, 0.047737530079893, 0.04792912666602962, 0.050224090011424076, 0.05103501348314575, 0.05251268305009913, 0.05454230595554818, 0.054925339757076995, 0.05704199366386662, 0.058040647831821376, 0.059037407838776625, 0.05907636522554885, 0.061742075751197965, 0.06195115343865365, 0.0629877321540442, 0.06309992497493132, 0.06332348524488077, 0.06377157172030697, 0.06641613561687439, 0.06811955298402693, 0.07127017344510522, 0.07304257991981707, 0.07434668265847695, 0.07631926080374948, 0.07649922529253576, 0.07696972582370185, 0.07719922449828796, 0.08088254740602863, 0.0814370240200953, 0.08254103942486529, 0.08369175384864268, 0.0848643069917153, 0.08560058212028274, 0.08982888089999409, 0.09072230658505422, 0.1016299041305034, 0.10243013596870491, 0.10273677306152332, 0.10452146091295247, 0.10484253542852598, 0.1096024368229068, 0.11275864429228995, 0.1142146560645211, 0.11489994619380098, 0.11740124763011342, 0.11814243739577031, 0.12222127569910947, 0.1283980995517496, 0.1287177577983344, 0.13557559051808213, 0.13664899103441613, 0.13913032628124702, 0.13956442742089903, 0.14994627459467522, 0.15206078652717814, 0.15590748209544605, 0.15904016844174224, 0.1623599728462332, 0.16362160546176235, 0.16484237519892356, 0.1789064693713693, 0.17923115749157517, 0.17968766648674928, 0.1820853136329261, 0.1841133931761701, 0.18538744733318926, 0.1870229232598624, 0.18745790819111308, 0.18858808907601282, 0.18877167811288575, 0.18936186444411152, 0.19026645430265854, 0.1951116558329767, 0.19836536657715442, 0.20221952495505774, 0.21129352229139492, 0.2144776693231931, 0.2180830858819882, 0.21943147649975464, 0.21979896660278606, 0.22217726615442768, 0.22510336644699075, 0.22589124118034648, 0.227919961360513, 0.23682873304115304, 0.24268662934988522, 0.2437097162296196, 0.24445116967069103, 0.2462235520321357, 0.24680591904880608, 0.24738671192335804, 0.2473955113981902, 0.24804499448879816, 0.249304988059164, 0.25006400239451454, 0.2502409971161638, 0.25095288130508125, 0.25327387127471757, 0.2539875720013527, 0.2545634965627493, 0.2566378578858469, 0.25687665053445413, 0.26227462824205905, 0.26648085291089235, 0.2666338448161429, 0.2682220737759482, 0.27046271907630254, 0.27157155434933256, 0.2821746088349758, 0.287284893964309, 0.29054742210792145, 0.29378225713841855, 0.2986838150763796, 0.3002462171517351, 0.3011905507168768, 0.3051051133144324, 0.3144195310139996, 0.3147664755809411, 0.316099082953608, 0.31914652786624165, 0.32190580559917364, 0.3312891283175204, 0.3326710328283608, 0.334418100324323, 0.34083186767529966, 0.34195360301042504, 0.3474814300401367, 0.3497355715237155, 0.35140758567474206, 0.35529219471809353, 0.356170205829102, 0.3566350104102197, 0.3593761709273384, 0.3628110582028559, 0.3677206458786336, 0.3718930524841081, 0.38293496146593364, 0.385672843616656, 0.3900334992727874, 0.3911219636767349, 0.39247389283820444, 0.399462268097455, 0.4101856911500031, 0.41290729195070763, 0.4195142964038215, 0.42163397569355854, 0.4272516540509306, 0.4439448902711589, 0.45057772972202004, 0.45263914484372436, 0.4605509881932589, 0.4692951646423313, 0.482383666378441, 0.49268817494548844, 0.49442768338169674, 0.4958464689043356, 0.5090480209069603, 0.530279185725927, 0.5394150094527203, 0.5402400539497964, 0.5583941274934692, 0.5710605532029679, 0.5878815952226052, 0.6086470916561867, 0.6104798348607998, 0.6195365293334537, 0.61959992475183, 0.6224799080556842, 0.641959451536511, 0.6432475254076767, 0.6463707803992377, 0.6503823787613954, 0.6530169121041588, 0.7147206698227438, 0.7220759849351598, 0.7245628823632008, 0.7429360761552188, 0.7466190036483783, 0.7513773746193134, 0.7611243616756599, 0.7698682492484907, 0.7789869995919191, 0.7832133998727533, 0.789848836023374, 0.7911435444757444, 0.7945562020195387, 0.8114562315941917, 0.8470913183167449, 0.8685338241181195, 0.8799079840841728, 0.9186826538783699, 0.9530097120055788, 0.9602591534601709, 0.966133947329489, 0.9730862995530939, 0.9752993437371588, 0.9763547740527354, 0.9872899029429585, 0.9878571202804521, 1.001945424334049, 1.0492664761534742, 1.0614576001728762, 1.1453288071774534, 1.2323521886205333, 1.241006972621295, 1.2500328261520415, 1.2679618134867274, 1.2800930763708003, 1.311916320417568, 1.3367030086269225, 1.3455103627286393, 1.3516157478209108, 1.3516627302825455, 1.3553937891765324, 1.3750409012538698, 1.390225255975148, 1.402678182817956, 1.4065991535084261, 1.407036582240258, 1.4077994769541982, 1.409693840427691, 1.4116054997924663, 1.4127371864873866, 1.4131447276760338, 1.4167679469522618, 1.4308987958691073, 1.4545450574386856, 1.456948016841024, 1.4591668645227942, 1.4603121600042968, 1.4695421365229804, 1.4760043892767285, 1.4779463752367874, 1.5084228002475104, 1.522031913318013, 1.5385122707768144, 1.5400389055534853, 1.5563052594896811, 1.601860924627827, 1.605437943963413, 1.610266090180204, 1.6148047455413437, 1.621230732248684, 1.6260240501812053, 1.6795464802035045, 1.7001150585041527, 1.7043006107763095, 1.7280190192015854, 1.7602964175215694, 3.4295509749160944], "xaxis": "x", "yaxis": "y"}], {"barmode": "relative", "legend": {"tracegroupgap": 0}, "margin": {"t": 60}, "template": {"data": {"bar": [{"error_x": {"color": "rgb(36,36,36)"}, "error_y": {"color": "rgb(36,36,36)"}, "marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "baxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "rgb(231,231,240)"}, "line": {"color": "white"}}, "header": {"fill": {"color": "rgb(183,183,191)"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "rgb(67,103,167)"}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "colorscale": {"sequential": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "sequentialminus": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]]}, "colorway": ["rgb(76,114,176)", "rgb(221,132,82)", "rgb(85,168,104)", "rgb(196,78,82)", "rgb(129,114,179)", "rgb(147,120,96)", "rgb(218,139,195)", "rgb(140,140,140)", "rgb(204,185,116)", "rgb(100,181,205)"], "font": {"color": "rgb(36,36,36)"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "rgb(234,234,242)", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "paper_bgcolor": "white", "plot_bgcolor": "rgb(234,234,242)", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "radialaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"fillcolor": "rgb(67,103,167)", "line": {"width": 0}, "opacity": 0.5}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "caxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}}}, "xaxis": {"anchor": "y", "domain": [0.0, 1.0], "title": {"text": "energy"}}, "yaxis": {"anchor": "x", "domain": [0.0, 1.0], "title": {"text": "count"}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('da5166ce-cff5-47c7-b6eb-054b9beac6a9'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); ", "x": -7.164435833848591, "xanchor": "center", "y": -2.392480228808132, "yanchor": "auto", "z": -1.008030880623261}, {"align": "center", "font": {"color": "black", "size": 16.0}, "opacity": 0.7, "showarrow": false, "text": "MnO", "x": -7.1497114472857985, "xanchor": "center", "y": -0.7822353301933925, "yanchor": "auto", "z": -2.2618284964426345}, {"align": "center", "font": {"color": "black", "size": 16.0}, "opacity": 0.7, "showarrow": false, "text": "Y262934988522, -0.23682873304115304, -0.227919961360513, -0.22589124118034648, -0.22510336644699075, -0.22217726615442768, -0.21979896660278606, -0.21943147649975464, -0.2180830858819882, -0.2144776693231931, -0.21129352229139492, -0.20221952495505774, -0.19836536657715442, -0.1951116558329767, -0.19026645430265854, -0.18936186444411152, -0.18877167811288575, -0.18858808907601282, -0.18745790819111308, -0.1870229232598624, -0.18538744733318926, -0.1841133931761701, -0.1820853136329261, -0.17968766648674928, -0.17923115749157517, -0.1789064693713693, -0.16484237519892356, -0.16362160546176235, -0.1623599728462332, -0.15904016844174224, -0.15590748209544605, -0.15206078652717814, -0.14994627459467522, -0.13956442742089903, -0.13913032628124702, -0.13664899103441613, -0.13557559051808213, -0.1287177577983344, -0.1283980995517496, -0.12222127569910947, -0.11814243739577031, -0.11740124763011342, -0.11489994619380098, -0.1142146560645211, -0.11275864429228995, -0.1096024368229068, -0.10484253542852598, -0.10452146091295247, -0.10273677306152332, -0.10243013596870491, -0.1016299041305034, -0.09072230658505422, -0.08982888089999409, -0.08560058212028274, -0.0848643069917153, -0.08369175384864268, -0.08254103942486529, -0.0814370240200953, -0.08088254740602863, -0.07719922449828796, -0.07696972582370185, -0.07649922529253576, -0.07631926080374948, -0.07434668265847695, -0.07304257991981707, -0.07127017344510522, -0.06811955298402693, -0.06641613561687439, -0.06377157172030697, -0.06332348524488077, -0.06309992497493132, -0.0629877321540442, -0.06195115343865365, -0.061742075751197965, -0.05907636522554885, -0.059037407838776625, -0.058040647831821376, -0.05704199366386662, -0.054925339757076995, -0.05454230595554818, -0.05251268305009913, -0.05103501348314575, -0.050224090011424076, -0.04792912666602962, -0.047737530079893, -0.04757497351690919, -0.04572491962828099, -0.04408802715571931, -0.04314733306814489, -0.04242183503907916, -0.04157649958180026, -0.041400329762652545, -0.03857708177549634, -0.038460369697261035, -0.036953786686562164, -0.036868388577507585, -0.03289180130231932, -0.032711155484437704, -0.032076783427077975, -0.031165766297465713, -0.028129552506168568, -0.02686967176644436, -0.025887391007694882, -0.025698362525092767, -0.024880809327579974, -0.024536889311244307, -0.023401317798101468, -0.022427646897401732, -0.021795541898906805, -0.01957696594515852, -0.01942105728798754, -0.0187653124401885, -0.018532459408548713, -0.017910210981486454, -0.014107741523398732, -0.013921051721290994, -0.013675330867087089, -0.011847985810513465, -0.010527198868418058, -0.009229392701099688, -0.008932129797219527, -0.007452914745133853, -0.0064338161231278935, -0.0038149466586508214, -0.002288334273327917, 0.002288334273327917, 0.0038149466586508214, 0.0064338161231278935, 0.007452914745133853, 0.008932129797219527, 0.009229392701099688, 0.010527198868418058, 0.011847985810513465, 0.013675330867087089, 0.013921051721290994, 0.014107741523398732, 0.017910210981486454, 0.018532459408548713, 0.0187653124401885, 0.01942105728798754, 0.01957696594515852, 0.021795541898906805, 0.022427646897401732, 0.023401317798101468, 0.024536889311244307, 0.024880809327579974, 0.025698362525092767, 0.025887391007694882, 0.02686967176644436, 0.028129552506168568, 0.031165766297465713, 0.032076783427077975, 0.032711155484437704, 0.03289180130231932, 0.036868388577507585, 0.036953786686562164, 0.038460369697261035, 0.03857708177549634, 0.041400329762652545, 0.04157649958180026, 0.04242183503907916, 0.04314733306814489, 0.04408802715571931, 0.04572491962828099, 0.04757497351690919, 0.047737530079893, 0.04792912666602962, 0.050224090011424076, 0.05103501348314575, 0.05251268305009913, 0.05454230595554818, 0.054925339757076995, 0.05704199366386662, 0.058040647831821376, 0.059037407838776625, 0.05907636522554885, 0.061742075751197965, 0.06195115343865365, 0.0629877321540442, 0.06309992497493132, 0.06332348524488077, 0.06377157172030697, 0.06641613561687439, 0.06811955298402693, 0.07127017344510522, 0.07304257991981707, 0.07434668265847695, 0.07631926080374948, 0.07649922529253576, 0.07696972582370185, 0.07719922449828796, 0.08088254740602863, 0.0814370240200953, 0.08254103942486529, 0.08369175384864268, 0.0848643069917153, 0.08560058212028274, 0.08982888089999409, 0.09072230658505422, 0.1016299041305034, 0.10243013596870491, 0.10273677306152332, 0.10452146091295247, 0.10484253542852598, 0.1096024368229068, 0.11275864429228995, 0.1142146560645211, 0.11489994619380098, 0.11740124763011342, 0.11814243739577031, 0.12222127569910947, 0.1283980995517496, 0.1287177577983344, 0.13557559051808213, 0.13664899103441613, 0.13913032628124702, 0.13956442742089903, 0.14994627459467522, 0.15206078652717814, 0.15590748209544605, 0.15904016844174224, 0.1623599728462332, 0.16362160546176235, 0.16484237519892356, 0.1789064693713693, 0.17923115749157517, 0.17968766648674928, 0.1820853136329261, 0.1841133931761701, 0.18538744733318926, 0.1870229232598624, 0.18745790819111308, 0.18858808907601282, 0.18877167811288575, 0.18936186444411152, 0.19026645430265854, 0.1951116558329767, 0.19836536657715442, 0.20221952495505774, 0.21129352229139492, 0.2144776693231931, 0.2180830858819882, 0.21943147649975464, 0.21979896660278606, 0.22217726615442768, 0.22510336644699075, 0.22589124118034648, 0.227919961360513, 0.23682873304115304, 0.24268662934988522, 0.2437097162296196, 0.24445116967069103, 0.2462235520321357, 0.24680591904880608, 0.24738671192335804, 0.2473955113981902, 0.24804499448879816, 0.249304988059164, 0.25006400239451454, 0.2502409971161638, 0.25095288130508125, 0.25327387127471757, 0.2539875720013527, 0.2545634965627493, 0.2566378578858469, 0.25687665053445413, 0.26227462824205905, 0.26648085291089235, 0.2666338448161429, 0.2682220737759482, 0.27046271907630254, 0.27157155434933256, 0.2821746088349758, 0.287284893964309, 0.29054742210792145, 0.29378225713841855, 0.2986838150763796, 0.3002462171517351, 0.3011905507168768, 0.3051051133144324, 0.3144195310139996, 0.3147664755809411, 0.316099082953608, 0.31914652786624165, 0.32190580559917364, 0.3312891283175204, 0.3326710328283608, 0.334418100324323, 0.34083186767529966, 0.34195360301042504, 0.3474814300401367, 0.3497355715237155, 0.35140758567474206, 0.35529219471809353, 0.356170205829102, 0.3566350104102197, 0.3593761709273384, 0.3628110582028559, 0.3677206458786336, 0.3718930524841081, 0.38293496146593364, 0.385672843616656, 0.3900334992727874, 0.3911219636767349, 0.39247389283820444, 0.399462268097455, 0.4101856911500031, 0.41290729195070763, 0.4195142964038215, 0.42163397569355854, 0.4272516540509306, 0.4439448902711589, 0.45057772972202004, 0.45263914484372436, 0.4605509881932589, 0.4692951646423313, 0.482383666378441, 0.49268817494548844, 0.49442768338169674, 0.4958464689043356, 0.5090480209069603, 0.530279185725927, 0.5394150094527203, 0.5402400539497964, 0.5583941274934692, 0.5710605532029679, 0.5878815952226052, 0.6086470916561867, 0.6104798348607998, 0.6195365293334537, 0.61959992475183, 0.6224799080556842, 0.641959451536511, 0.6432475254076767, 0.6463707803992377, 0.6503823787613954, 0.6530169121041588, 0.7147206698227438, 0.7220759849351598, 0.7245628823632008, 0.7429360761552188, 0.7466190036483783, 0.7513773746193134, 0.7611243616756599, 0.7698682492484907, 0.7789869995919191, 0.7832133998727533, 0.789848836023374, 0.7911435444757444, 0.7945562020195387, 0.8114562315941917, 0.8470913183167449, 0.8685338241181195, 0.8799079840841728, 0.9186826538783699, 0.9530097120055788, 0.9602591534601709, 0.966133947329489, 0.9730862995530939, 0.9752993437371588, 0.9763547740527354, 0.9872899029429585, 0.9878571202804521, 1.001945424334049, 1.0492664761534742, 1.0614576001728762, 1.1453288071774534, 1.2323521886205333, 1.241006972621295, 1.2500328261520415, 1.2679618134867274, 1.2800930763708003, 1.311916320417568, 1.3367030086269225, 1.3455103627286393, 1.3516157478209108, 1.3516627302825455, 1.3553937891765324, 1.3750409012538698, 1.390225255975148, 1.402678182817956, 1.4065991535084261, 1.407036582240258, 1.4077994769541982, 1.409693840427691, 1.4116054997924663, 1.4127371864873866, 1.4131447276760338, 1.4167679469522618, 1.4308987958691073, 1.4545450574386856, 1.456948016841024, 1.4591668645227942, 1.4603121600042968, 1.4695421365229804, 1.4760043892767285, 1.4779463752367874, 1.5084228002475104, 1.522031913318013, 1.5385122707768144, 1.5400389055534853, 1.5563052594896811, 1.601860924627827, 1.605437943963413, 1.610266090180204, 1.6148047455413437, 1.621230732248684, 1.6260240501812053, 1.6795464802035045, 1.7001150585041527, 1.7043006107763095, 1.7280190192015854, 1.7602964175215694, 3.4295509749160944], "xaxis": "x", "yaxis": "y"}], {"barmode": "relative", "legend": {"tracegroupgap": 0}, "margin": {"t": 60}, "template": {"data": {"bar": [{"error_x": {"color": "rgb(36,36,36)"}, "error_y": {"color": "rgb(36,36,36)"}, "marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "baxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "rgb(231,231,240)"}, "line": {"color": "white"}}, "header": {"fill": {"color": "rgb(183,183,191)"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "rgb(67,103,167)"}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "colorscale": {"sequential": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "sequentialminus": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]]}, "colorway": ["rgb(76,114,176)", "rgb(221,132,82)", "rgb(85,168,104)", "rgb(196,78,82)", "rgb(129,114,179)", "rgb(147,120,96)", "rgb(218,139,195)", "rgb(140,140,140)", "rgb(204,185,116)", "rgb(100,181,205)"], "font": {"color": "rgb(36,36,36)"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "rgb(234,234,242)", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "paper_bgcolor": "white", "plot_bgcolor": "rgb(234,234,242)", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "radialaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"fillcolor": "rgb(67,103,167)", "line": {"width": 0}, "opacity": 0.5}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "caxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}}}, "xaxis": {"anchor": "y", "domain": [0.0, 1.0], "title": {"text": "energy"}}, "yaxis": {"anchor": "x", "domain": [0.0, 1.0], "title": {"text": "count"}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('da5166ce-cff5-47c7-b6eb-054b9beac6a9'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); Mn20.23682873304115304, -0.227919961360513, -0.22589124118034648, -0.22510336644699075, -0.22217726615442768, -0.21979896660278606, -0.21943147649975464, -0.2180830858819882, -0.2144776693231931, -0.21129352229139492, -0.20221952495505774, -0.19836536657715442, -0.1951116558329767, -0.19026645430265854, -0.18936186444411152, -0.18877167811288575, -0.18858808907601282, -0.18745790819111308, -0.1870229232598624, -0.18538744733318926, -0.1841133931761701, -0.1820853136329261, -0.17968766648674928, -0.17923115749157517, -0.1789064693713693, -0.16484237519892356, -0.16362160546176235, -0.1623599728462332, -0.15904016844174224, -0.15590748209544605, -0.15206078652717814, -0.14994627459467522, -0.13956442742089903, -0.13913032628124702, -0.13664899103441613, -0.13557559051808213, -0.1287177577983344, -0.1283980995517496, -0.12222127569910947, -0.11814243739577031, -0.11740124763011342, -0.11489994619380098, -0.1142146560645211, -0.11275864429228995, -0.1096024368229068, -0.10484253542852598, -0.10452146091295247, -0.10273677306152332, -0.10243013596870491, -0.1016299041305034, -0.09072230658505422, -0.08982888089999409, -0.08560058212028274, -0.0848643069917153, -0.08369175384864268, -0.08254103942486529, -0.0814370240200953, -0.08088254740602863, -0.07719922449828796, -0.07696972582370185, -0.07649922529253576, -0.07631926080374948, -0.07434668265847695, -0.07304257991981707, -0.07127017344510522, -0.06811955298402693, -0.06641613561687439, -0.06377157172030697, -0.06332348524488077, -0.06309992497493132, -0.0629877321540442, -0.06195115343865365, -0.061742075751197965, -0.05907636522554885, -0.059037407838776625, -0.058040647831821376, -0.05704199366386662, -0.054925339757076995, -0.05454230595554818, -0.05251268305009913, -0.05103501348314575, -0.050224090011424076, -0.04792912666602962, -0.047737530079893, -0.04757497351690919, -0.04572491962828099, -0.04408802715571931, -0.04314733306814489, -0.04242183503907916, -0.04157649958180026, -0.041400329762652545, -0.03857708177549634, -0.038460369697261035, -0.036953786686562164, -0.036868388577507585, -0.03289180130231932, -0.032711155484437704, -0.032076783427077975, -0.031165766297465713, -0.028129552506168568, -0.02686967176644436, -0.025887391007694882, -0.025698362525092767, -0.024880809327579974, -0.024536889311244307, -0.023401317798101468, -0.022427646897401732, -0.021795541898906805, -0.01957696594515852, -0.01942105728798754, -0.0187653124401885, -0.018532459408548713, -0.017910210981486454, -0.014107741523398732, -0.013921051721290994, -0.013675330867087089, -0.011847985810513465, -0.010527198868418058, -0.009229392701099688, -0.008932129797219527, -0.007452914745133853, -0.0064338161231278935, -0.0038149466586508214, -0.002288334273327917, 0.002288334273327917, 0.0038149466586508214, 0.0064338161231278935, 0.007452914745133853, 0.008932129797219527, 0.009229392701099688, 0.010527198868418058, 0.011847985810513465, 0.013675330867087089, 0.013921051721290994, 0.014107741523398732, 0.017910210981486454, 0.018532459408548713, 0.0187653124401885, 0.01942105728798754, 0.01957696594515852, 0.021795541898906805, 0.022427646897401732, 0.023401317798101468, 0.024536889311244307, 0.024880809327579974, 0.025698362525092767, 0.025887391007694882, 0.02686967176644436, 0.028129552506168568, 0.031165766297465713, 0.032076783427077975, 0.032711155484437704, 0.03289180130231932, 0.036868388577507585, 0.036953786686562164, 0.038460369697261035, 0.03857708177549634, 0.041400329762652545, 0.04157649958180026, 0.04242183503907916, 0.04314733306814489, 0.04408802715571931, 0.04572491962828099, 0.04757497351690919, 0.047737530079893, 0.04792912666602962, 0.050224090011424076, 0.05103501348314575, 0.05251268305009913, 0.05454230595554818, 0.054925339757076995, 0.05704199366386662, 0.058040647831821376, 0.059037407838776625, 0.05907636522554885, 0.061742075751197965, 0.06195115343865365, 0.0629877321540442, 0.06309992497493132, 0.06332348524488077, 0.06377157172030697, 0.06641613561687439, 0.06811955298402693, 0.07127017344510522, 0.07304257991981707, 0.07434668265847695, 0.07631926080374948, 0.07649922529253576, 0.07696972582370185, 0.07719922449828796, 0.08088254740602863, 0.0814370240200953, 0.08254103942486529, 0.08369175384864268, 0.0848643069917153, 0.08560058212028274, 0.08982888089999409, 0.09072230658505422, 0.1016299041305034, 0.10243013596870491, 0.10273677306152332, 0.10452146091295247, 0.10484253542852598, 0.1096024368229068, 0.11275864429228995, 0.1142146560645211, 0.11489994619380098, 0.11740124763011342, 0.11814243739577031, 0.12222127569910947, 0.1283980995517496, 0.1287177577983344, 0.13557559051808213, 0.13664899103441613, 0.13913032628124702, 0.13956442742089903, 0.14994627459467522, 0.15206078652717814, 0.15590748209544605, 0.15904016844174224, 0.1623599728462332, 0.16362160546176235, 0.16484237519892356, 0.1789064693713693, 0.17923115749157517, 0.17968766648674928, 0.1820853136329261, 0.1841133931761701, 0.18538744733318926, 0.1870229232598624, 0.18745790819111308, 0.18858808907601282, 0.18877167811288575, 0.18936186444411152, 0.19026645430265854, 0.1951116558329767, 0.19836536657715442, 0.20221952495505774, 0.21129352229139492, 0.2144776693231931, 0.2180830858819882, 0.21943147649975464, 0.21979896660278606, 0.22217726615442768, 0.22510336644699075, 0.22589124118034648, 0.227919961360513, 0.23682873304115304, 0.24268662934988522, 0.2437097162296196, 0.24445116967069103, 0.2462235520321357, 0.24680591904880608, 0.24738671192335804, 0.2473955113981902, 0.24804499448879816, 0.249304988059164, 0.25006400239451454, 0.2502409971161638, 0.25095288130508125, 0.25327387127471757, 0.2539875720013527, 0.2545634965627493, 0.2566378578858469, 0.25687665053445413, 0.26227462824205905, 0.26648085291089235, 0.2666338448161429, 0.2682220737759482, 0.27046271907630254, 0.27157155434933256, 0.2821746088349758, 0.287284893964309, 0.29054742210792145, 0.29378225713841855, 0.2986838150763796, 0.3002462171517351, 0.3011905507168768, 0.3051051133144324, 0.3144195310139996, 0.3147664755809411, 0.316099082953608, 0.31914652786624165, 0.32190580559917364, 0.3312891283175204, 0.3326710328283608, 0.334418100324323, 0.34083186767529966, 0.34195360301042504, 0.3474814300401367, 0.3497355715237155, 0.35140758567474206, 0.35529219471809353, 0.356170205829102, 0.3566350104102197, 0.3593761709273384, 0.3628110582028559, 0.3677206458786336, 0.3718930524841081, 0.38293496146593364, 0.385672843616656, 0.3900334992727874, 0.3911219636767349, 0.39247389283820444, 0.399462268097455, 0.4101856911500031, 0.41290729195070763, 0.4195142964038215, 0.42163397569355854, 0.4272516540509306, 0.4439448902711589, 0.45057772972202004, 0.45263914484372436, 0.4605509881932589, 0.4692951646423313, 0.482383666378441, 0.49268817494548844, 0.49442768338169674, 0.4958464689043356, 0.5090480209069603, 0.530279185725927, 0.5394150094527203, 0.5402400539497964, 0.5583941274934692, 0.5710605532029679, 0.5878815952226052, 0.6086470916561867, 0.6104798348607998, 0.6195365293334537, 0.61959992475183, 0.6224799080556842, 0.641959451536511, 0.6432475254076767, 0.6463707803992377, 0.6503823787613954, 0.6530169121041588, 0.7147206698227438, 0.7220759849351598, 0.7245628823632008, 0.7429360761552188, 0.7466190036483783, 0.7513773746193134, 0.7611243616756599, 0.7698682492484907, 0.7789869995919191, 0.7832133998727533, 0.789848836023374, 0.7911435444757444, 0.7945562020195387, 0.8114562315941917, 0.8470913183167449, 0.8685338241181195, 0.8799079840841728, 0.9186826538783699, 0.9530097120055788, 0.9602591534601709, 0.966133947329489, 0.9730862995530939, 0.9752993437371588, 0.9763547740527354, 0.9872899029429585, 0.9878571202804521, 1.001945424334049, 1.0492664761534742, 1.0614576001728762, 1.1453288071774534, 1.2323521886205333, 1.241006972621295, 1.2500328261520415, 1.2679618134867274, 1.2800930763708003, 1.311916320417568, 1.3367030086269225, 1.3455103627286393, 1.3516157478209108, 1.3516627302825455, 1.3553937891765324, 1.3750409012538698, 1.390225255975148, 1.402678182817956, 1.4065991535084261, 1.407036582240258, 1.4077994769541982, 1.409693840427691, 1.4116054997924663, 1.4127371864873866, 1.4131447276760338, 1.4167679469522618, 1.4308987958691073, 1.4545450574386856, 1.456948016841024, 1.4591668645227942, 1.4603121600042968, 1.4695421365229804, 1.4760043892767285, 1.4779463752367874, 1.5084228002475104, 1.522031913318013, 1.5385122707768144, 1.5400389055534853, 1.5563052594896811, 1.601860924627827, 1.605437943963413, 1.610266090180204, 1.6148047455413437, 1.621230732248684, 1.6260240501812053, 1.6795464802035045, 1.7001150585041527, 1.7043006107763095, 1.7280190192015854, 1.7602964175215694, 3.4295509749160944], "xaxis": "x", "yaxis": "y"}], {"barmode": "relative", "legend": {"tracegroupgap": 0}, "margin": {"t": 60}, "template": {"data": {"bar": [{"error_x": {"color": "rgb(36,36,36)"}, "error_y": {"color": "rgb(36,36,36)"}, "marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "baxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "rgb(231,231,240)"}, "line": {"color": "white"}}, "header": {"fill": {"color": "rgb(183,183,191)"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "rgb(67,103,167)"}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "colorscale": {"sequential": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "sequentialminus": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]]}, "colorway": ["rgb(76,114,176)", "rgb(221,132,82)", "rgb(85,168,104)", "rgb(196,78,82)", "rgb(129,114,179)", "rgb(147,120,96)", "rgb(218,139,195)", "rgb(140,140,140)", "rgb(204,185,116)", "rgb(100,181,205)"], "font": {"color": "rgb(36,36,36)"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "rgb(234,234,242)", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "paper_bgcolor": "white", "plot_bgcolor": "rgb(234,234,242)", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "radialaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"fillcolor": "rgb(67,103,167)", "line": {"width": 0}, "opacity": 0.5}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "caxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}}}, "xaxis": {"anchor": "y", "domain": [0.0, 1.0], "title": {"text": "energy"}}, "yaxis": {"anchor": "x", "domain": [0.0, 1.0], "title": {"text": "count"}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('da5166ce-cff5-47c7-b6eb-054b9beac6a9'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); O7115304, -0.227919961360513, -0.22589124118034648, -0.22510336644699075, -0.22217726615442768, -0.21979896660278606, -0.21943147649975464, -0.2180830858819882, -0.2144776693231931, -0.21129352229139492, -0.20221952495505774, -0.19836536657715442, -0.1951116558329767, -0.19026645430265854, -0.18936186444411152, -0.18877167811288575, -0.18858808907601282, -0.18745790819111308, -0.1870229232598624, -0.18538744733318926, -0.1841133931761701, -0.1820853136329261, -0.17968766648674928, -0.17923115749157517, -0.1789064693713693, -0.16484237519892356, -0.16362160546176235, -0.1623599728462332, -0.15904016844174224, -0.15590748209544605, -0.15206078652717814, -0.14994627459467522, -0.13956442742089903, -0.13913032628124702, -0.13664899103441613, -0.13557559051808213, -0.1287177577983344, -0.1283980995517496, -0.12222127569910947, -0.11814243739577031, -0.11740124763011342, -0.11489994619380098, -0.1142146560645211, -0.11275864429228995, -0.1096024368229068, -0.10484253542852598, -0.10452146091295247, -0.10273677306152332, -0.10243013596870491, -0.1016299041305034, -0.09072230658505422, -0.08982888089999409, -0.08560058212028274, -0.0848643069917153, -0.08369175384864268, -0.08254103942486529, -0.0814370240200953, -0.08088254740602863, -0.07719922449828796, -0.07696972582370185, -0.07649922529253576, -0.07631926080374948, -0.07434668265847695, -0.07304257991981707, -0.07127017344510522, -0.06811955298402693, -0.06641613561687439, -0.06377157172030697, -0.06332348524488077, -0.06309992497493132, -0.0629877321540442, -0.06195115343865365, -0.061742075751197965, -0.05907636522554885, -0.059037407838776625, -0.058040647831821376, -0.05704199366386662, -0.054925339757076995, -0.05454230595554818, -0.05251268305009913, -0.05103501348314575, -0.050224090011424076, -0.04792912666602962, -0.047737530079893, -0.04757497351690919, -0.04572491962828099, -0.04408802715571931, -0.04314733306814489, -0.04242183503907916, -0.04157649958180026, -0.041400329762652545, -0.03857708177549634, -0.038460369697261035, -0.036953786686562164, -0.036868388577507585, -0.03289180130231932, -0.032711155484437704, -0.032076783427077975, -0.031165766297465713, -0.028129552506168568, -0.02686967176644436, -0.025887391007694882, -0.025698362525092767, -0.024880809327579974, -0.024536889311244307, -0.023401317798101468, -0.022427646897401732, -0.021795541898906805, -0.01957696594515852, -0.01942105728798754, -0.0187653124401885, -0.018532459408548713, -0.017910210981486454, -0.014107741523398732, -0.013921051721290994, -0.013675330867087089, -0.011847985810513465, -0.010527198868418058, -0.009229392701099688, -0.008932129797219527, -0.007452914745133853, -0.0064338161231278935, -0.0038149466586508214, -0.002288334273327917, 0.002288334273327917, 0.0038149466586508214, 0.0064338161231278935, 0.007452914745133853, 0.008932129797219527, 0.009229392701099688, 0.010527198868418058, 0.011847985810513465, 0.013675330867087089, 0.013921051721290994, 0.014107741523398732, 0.017910210981486454, 0.018532459408548713, 0.0187653124401885, 0.01942105728798754, 0.01957696594515852, 0.021795541898906805, 0.022427646897401732, 0.023401317798101468, 0.024536889311244307, 0.024880809327579974, 0.025698362525092767, 0.025887391007694882, 0.02686967176644436, 0.028129552506168568, 0.031165766297465713, 0.032076783427077975, 0.032711155484437704, 0.03289180130231932, 0.036868388577507585, 0.036953786686562164, 0.038460369697261035, 0.03857708177549634, 0.041400329762652545, 0.04157649958180026, 0.04242183503907916, 0.04314733306814489, 0.04408802715571931, 0.04572491962828099, 0.04757497351690919, 0.047737530079893, 0.04792912666602962, 0.050224090011424076, 0.05103501348314575, 0.05251268305009913, 0.05454230595554818, 0.054925339757076995, 0.05704199366386662, 0.058040647831821376, 0.059037407838776625, 0.05907636522554885, 0.061742075751197965, 0.06195115343865365, 0.0629877321540442, 0.06309992497493132, 0.06332348524488077, 0.06377157172030697, 0.06641613561687439, 0.06811955298402693, 0.07127017344510522, 0.07304257991981707, 0.07434668265847695, 0.07631926080374948, 0.07649922529253576, 0.07696972582370185, 0.07719922449828796, 0.08088254740602863, 0.0814370240200953, 0.08254103942486529, 0.08369175384864268, 0.0848643069917153, 0.08560058212028274, 0.08982888089999409, 0.09072230658505422, 0.1016299041305034, 0.10243013596870491, 0.10273677306152332, 0.10452146091295247, 0.10484253542852598, 0.1096024368229068, 0.11275864429228995, 0.1142146560645211, 0.11489994619380098, 0.11740124763011342, 0.11814243739577031, 0.12222127569910947, 0.1283980995517496, 0.1287177577983344, 0.13557559051808213, 0.13664899103441613, 0.13913032628124702, 0.13956442742089903, 0.14994627459467522, 0.15206078652717814, 0.15590748209544605, 0.15904016844174224, 0.1623599728462332, 0.16362160546176235, 0.16484237519892356, 0.1789064693713693, 0.17923115749157517, 0.17968766648674928, 0.1820853136329261, 0.1841133931761701, 0.18538744733318926, 0.1870229232598624, 0.18745790819111308, 0.18858808907601282, 0.18877167811288575, 0.18936186444411152, 0.19026645430265854, 0.1951116558329767, 0.19836536657715442, 0.20221952495505774, 0.21129352229139492, 0.2144776693231931, 0.2180830858819882, 0.21943147649975464, 0.21979896660278606, 0.22217726615442768, 0.22510336644699075, 0.22589124118034648, 0.227919961360513, 0.23682873304115304, 0.24268662934988522, 0.2437097162296196, 0.24445116967069103, 0.2462235520321357, 0.24680591904880608, 0.24738671192335804, 0.2473955113981902, 0.24804499448879816, 0.249304988059164, 0.25006400239451454, 0.2502409971161638, 0.25095288130508125, 0.25327387127471757, 0.2539875720013527, 0.2545634965627493, 0.2566378578858469, 0.25687665053445413, 0.26227462824205905, 0.26648085291089235, 0.2666338448161429, 0.2682220737759482, 0.27046271907630254, 0.27157155434933256, 0.2821746088349758, 0.287284893964309, 0.29054742210792145, 0.29378225713841855, 0.2986838150763796, 0.3002462171517351, 0.3011905507168768, 0.3051051133144324, 0.3144195310139996, 0.3147664755809411, 0.316099082953608, 0.31914652786624165, 0.32190580559917364, 0.3312891283175204, 0.3326710328283608, 0.334418100324323, 0.34083186767529966, 0.34195360301042504, 0.3474814300401367, 0.3497355715237155, 0.35140758567474206, 0.35529219471809353, 0.356170205829102, 0.3566350104102197, 0.3593761709273384, 0.3628110582028559, 0.3677206458786336, 0.3718930524841081, 0.38293496146593364, 0.385672843616656, 0.3900334992727874, 0.3911219636767349, 0.39247389283820444, 0.399462268097455, 0.4101856911500031, 0.41290729195070763, 0.4195142964038215, 0.42163397569355854, 0.4272516540509306, 0.4439448902711589, 0.45057772972202004, 0.45263914484372436, 0.4605509881932589, 0.4692951646423313, 0.482383666378441, 0.49268817494548844, 0.49442768338169674, 0.4958464689043356, 0.5090480209069603, 0.530279185725927, 0.5394150094527203, 0.5402400539497964, 0.5583941274934692, 0.5710605532029679, 0.5878815952226052, 0.6086470916561867, 0.6104798348607998, 0.6195365293334537, 0.61959992475183, 0.6224799080556842, 0.641959451536511, 0.6432475254076767, 0.6463707803992377, 0.6503823787613954, 0.6530169121041588, 0.7147206698227438, 0.7220759849351598, 0.7245628823632008, 0.7429360761552188, 0.7466190036483783, 0.7513773746193134, 0.7611243616756599, 0.7698682492484907, 0.7789869995919191, 0.7832133998727533, 0.789848836023374, 0.7911435444757444, 0.7945562020195387, 0.8114562315941917, 0.8470913183167449, 0.8685338241181195, 0.8799079840841728, 0.9186826538783699, 0.9530097120055788, 0.9602591534601709, 0.966133947329489, 0.9730862995530939, 0.9752993437371588, 0.9763547740527354, 0.9872899029429585, 0.9878571202804521, 1.001945424334049, 1.0492664761534742, 1.0614576001728762, 1.1453288071774534, 1.2323521886205333, 1.241006972621295, 1.2500328261520415, 1.2679618134867274, 1.2800930763708003, 1.311916320417568, 1.3367030086269225, 1.3455103627286393, 1.3516157478209108, 1.3516627302825455, 1.3553937891765324, 1.3750409012538698, 1.390225255975148, 1.402678182817956, 1.4065991535084261, 1.407036582240258, 1.4077994769541982, 1.409693840427691, 1.4116054997924663, 1.4127371864873866, 1.4131447276760338, 1.4167679469522618, 1.4308987958691073, 1.4545450574386856, 1.456948016841024, 1.4591668645227942, 1.4603121600042968, 1.4695421365229804, 1.4760043892767285, 1.4779463752367874, 1.5084228002475104, 1.522031913318013, 1.5385122707768144, 1.5400389055534853, 1.5563052594896811, 1.601860924627827, 1.605437943963413, 1.610266090180204, 1.6148047455413437, 1.621230732248684, 1.6260240501812053, 1.6795464802035045, 1.7001150585041527, 1.7043006107763095, 1.7280190192015854, 1.7602964175215694, 3.4295509749160944], "xaxis": "x", "yaxis": "y"}], {"barmode": "relative", "legend": {"tracegroupgap": 0}, "margin": {"t": 60}, "template": {"data": {"bar": [{"error_x": {"color": "rgb(36,36,36)"}, "error_y": {"color": "rgb(36,36,36)"}, "marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "baxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "rgb(231,231,240)"}, "line": {"color": "white"}}, "header": {"fill": {"color": "rgb(183,183,191)"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "rgb(67,103,167)"}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "colorscale": {"sequential": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "sequentialminus": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]]}, "colorway": ["rgb(76,114,176)", "rgb(221,132,82)", "rgb(85,168,104)", "rgb(196,78,82)", "rgb(129,114,179)", "rgb(147,120,96)", "rgb(218,139,195)", "rgb(140,140,140)", "rgb(204,185,116)", "rgb(100,181,205)"], "font": {"color": "rgb(36,36,36)"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "rgb(234,234,242)", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "paper_bgcolor": "white", "plot_bgcolor": "rgb(234,234,242)", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "radialaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"fillcolor": "rgb(67,103,167)", "line": {"width": 0}, "opacity": 0.5}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "caxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}}}, "xaxis": {"anchor": "y", "domain": [0.0, 1.0], "title": {"text": "energy"}}, "yaxis": {"anchor": "x", "domain": [0.0, 1.0], "title": {"text": "count"}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('da5166ce-cff5-47c7-b6eb-054b9beac6a9'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); ", "x": -8.361956271454577, "xanchor": "center", "y": -3.7858177632510013, "yanchor": "auto", "z": -0.17275610984485373}, {"align": "center", "font": {"color": "black", "size": 16.0}, "opacity": 0.7, "showarrow": false, "text": "O242, -0.1951116558329767, -0.19026645430265854, -0.18936186444411152, -0.18877167811288575, -0.18858808907601282, -0.18745790819111308, -0.1870229232598624, -0.18538744733318926, -0.1841133931761701, -0.1820853136329261, -0.17968766648674928, -0.17923115749157517, -0.1789064693713693, -0.16484237519892356, -0.16362160546176235, -0.1623599728462332, -0.15904016844174224, -0.15590748209544605, -0.15206078652717814, -0.14994627459467522, -0.13956442742089903, -0.13913032628124702, -0.13664899103441613, -0.13557559051808213, -0.1287177577983344, -0.1283980995517496, -0.12222127569910947, -0.11814243739577031, -0.11740124763011342, -0.11489994619380098, -0.1142146560645211, -0.11275864429228995, -0.1096024368229068, -0.10484253542852598, -0.10452146091295247, -0.10273677306152332, -0.10243013596870491, -0.1016299041305034, -0.09072230658505422, -0.08982888089999409, -0.08560058212028274, -0.0848643069917153, -0.08369175384864268, -0.08254103942486529, -0.0814370240200953, -0.08088254740602863, -0.07719922449828796, -0.07696972582370185, -0.07649922529253576, -0.07631926080374948, -0.07434668265847695, -0.07304257991981707, -0.07127017344510522, -0.06811955298402693, -0.06641613561687439, -0.06377157172030697, -0.06332348524488077, -0.06309992497493132, -0.0629877321540442, -0.06195115343865365, -0.061742075751197965, -0.05907636522554885, -0.059037407838776625, -0.058040647831821376, -0.05704199366386662, -0.054925339757076995, -0.05454230595554818, -0.05251268305009913, -0.05103501348314575, -0.050224090011424076, -0.04792912666602962, -0.047737530079893, -0.04757497351690919, -0.04572491962828099, -0.04408802715571931, -0.04314733306814489, -0.04242183503907916, -0.04157649958180026, -0.041400329762652545, -0.03857708177549634, -0.038460369697261035, -0.036953786686562164, -0.036868388577507585, -0.03289180130231932, -0.032711155484437704, -0.032076783427077975, -0.031165766297465713, -0.028129552506168568, -0.02686967176644436, -0.025887391007694882, -0.025698362525092767, -0.024880809327579974, -0.024536889311244307, -0.023401317798101468, -0.022427646897401732, -0.021795541898906805, -0.01957696594515852, -0.01942105728798754, -0.0187653124401885, -0.018532459408548713, -0.017910210981486454, -0.014107741523398732, -0.013921051721290994, -0.013675330867087089, -0.011847985810513465, -0.010527198868418058, -0.009229392701099688, -0.008932129797219527, -0.007452914745133853, -0.0064338161231278935, -0.0038149466586508214, -0.002288334273327917, 0.002288334273327917, 0.0038149466586508214, 0.0064338161231278935, 0.007452914745133853, 0.008932129797219527, 0.009229392701099688, 0.010527198868418058, 0.011847985810513465, 0.013675330867087089, 0.013921051721290994, 0.014107741523398732, 0.017910210981486454, 0.018532459408548713, 0.0187653124401885, 0.01942105728798754, 0.01957696594515852, 0.021795541898906805, 0.022427646897401732, 0.023401317798101468, 0.024536889311244307, 0.024880809327579974, 0.025698362525092767, 0.025887391007694882, 0.02686967176644436, 0.028129552506168568, 0.031165766297465713, 0.032076783427077975, 0.032711155484437704, 0.03289180130231932, 0.036868388577507585, 0.036953786686562164, 0.038460369697261035, 0.03857708177549634, 0.041400329762652545, 0.04157649958180026, 0.04242183503907916, 0.04314733306814489, 0.04408802715571931, 0.04572491962828099, 0.04757497351690919, 0.047737530079893, 0.04792912666602962, 0.050224090011424076, 0.05103501348314575, 0.05251268305009913, 0.05454230595554818, 0.054925339757076995, 0.05704199366386662, 0.058040647831821376, 0.059037407838776625, 0.05907636522554885, 0.061742075751197965, 0.06195115343865365, 0.0629877321540442, 0.06309992497493132, 0.06332348524488077, 0.06377157172030697, 0.06641613561687439, 0.06811955298402693, 0.07127017344510522, 0.07304257991981707, 0.07434668265847695, 0.07631926080374948, 0.07649922529253576, 0.07696972582370185, 0.07719922449828796, 0.08088254740602863, 0.0814370240200953, 0.08254103942486529, 0.08369175384864268, 0.0848643069917153, 0.08560058212028274, 0.08982888089999409, 0.09072230658505422, 0.1016299041305034, 0.10243013596870491, 0.10273677306152332, 0.10452146091295247, 0.10484253542852598, 0.1096024368229068, 0.11275864429228995, 0.1142146560645211, 0.11489994619380098, 0.11740124763011342, 0.11814243739577031, 0.12222127569910947, 0.1283980995517496, 0.1287177577983344, 0.13557559051808213, 0.13664899103441613, 0.13913032628124702, 0.13956442742089903, 0.14994627459467522, 0.15206078652717814, 0.15590748209544605, 0.15904016844174224, 0.1623599728462332, 0.16362160546176235, 0.16484237519892356, 0.1789064693713693, 0.17923115749157517, 0.17968766648674928, 0.1820853136329261, 0.1841133931761701, 0.18538744733318926, 0.1870229232598624, 0.18745790819111308, 0.18858808907601282, 0.18877167811288575, 0.18936186444411152, 0.19026645430265854, 0.1951116558329767, 0.19836536657715442, 0.20221952495505774, 0.21129352229139492, 0.2144776693231931, 0.2180830858819882, 0.21943147649975464, 0.21979896660278606, 0.22217726615442768, 0.22510336644699075, 0.22589124118034648, 0.227919961360513, 0.23682873304115304, 0.24268662934988522, 0.2437097162296196, 0.24445116967069103, 0.2462235520321357, 0.24680591904880608, 0.24738671192335804, 0.2473955113981902, 0.24804499448879816, 0.249304988059164, 0.25006400239451454, 0.2502409971161638, 0.25095288130508125, 0.25327387127471757, 0.2539875720013527, 0.2545634965627493, 0.2566378578858469, 0.25687665053445413, 0.26227462824205905, 0.26648085291089235, 0.2666338448161429, 0.2682220737759482, 0.27046271907630254, 0.27157155434933256, 0.2821746088349758, 0.287284893964309, 0.29054742210792145, 0.29378225713841855, 0.2986838150763796, 0.3002462171517351, 0.3011905507168768, 0.3051051133144324, 0.3144195310139996, 0.3147664755809411, 0.316099082953608, 0.31914652786624165, 0.32190580559917364, 0.3312891283175204, 0.3326710328283608, 0.334418100324323, 0.34083186767529966, 0.34195360301042504, 0.3474814300401367, 0.3497355715237155, 0.35140758567474206, 0.35529219471809353, 0.356170205829102, 0.3566350104102197, 0.3593761709273384, 0.3628110582028559, 0.3677206458786336, 0.3718930524841081, 0.38293496146593364, 0.385672843616656, 0.3900334992727874, 0.3911219636767349, 0.39247389283820444, 0.399462268097455, 0.4101856911500031, 0.41290729195070763, 0.4195142964038215, 0.42163397569355854, 0.4272516540509306, 0.4439448902711589, 0.45057772972202004, 0.45263914484372436, 0.4605509881932589, 0.4692951646423313, 0.482383666378441, 0.49268817494548844, 0.49442768338169674, 0.4958464689043356, 0.5090480209069603, 0.530279185725927, 0.5394150094527203, 0.5402400539497964, 0.5583941274934692, 0.5710605532029679, 0.5878815952226052, 0.6086470916561867, 0.6104798348607998, 0.6195365293334537, 0.61959992475183, 0.6224799080556842, 0.641959451536511, 0.6432475254076767, 0.6463707803992377, 0.6503823787613954, 0.6530169121041588, 0.7147206698227438, 0.7220759849351598, 0.7245628823632008, 0.7429360761552188, 0.7466190036483783, 0.7513773746193134, 0.7611243616756599, 0.7698682492484907, 0.7789869995919191, 0.7832133998727533, 0.789848836023374, 0.7911435444757444, 0.7945562020195387, 0.8114562315941917, 0.8470913183167449, 0.8685338241181195, 0.8799079840841728, 0.9186826538783699, 0.9530097120055788, 0.9602591534601709, 0.966133947329489, 0.9730862995530939, 0.9752993437371588, 0.9763547740527354, 0.9872899029429585, 0.9878571202804521, 1.001945424334049, 1.0492664761534742, 1.0614576001728762, 1.1453288071774534, 1.2323521886205333, 1.241006972621295, 1.2500328261520415, 1.2679618134867274, 1.2800930763708003, 1.311916320417568, 1.3367030086269225, 1.3455103627286393, 1.3516157478209108, 1.3516627302825455, 1.3553937891765324, 1.3750409012538698, 1.390225255975148, 1.402678182817956, 1.4065991535084261, 1.407036582240258, 1.4077994769541982, 1.409693840427691, 1.4116054997924663, 1.4127371864873866, 1.4131447276760338, 1.4167679469522618, 1.4308987958691073, 1.4545450574386856, 1.456948016841024, 1.4591668645227942, 1.4603121600042968, 1.4695421365229804, 1.4760043892767285, 1.4779463752367874, 1.5084228002475104, 1.522031913318013, 1.5385122707768144, 1.5400389055534853, 1.5563052594896811, 1.601860924627827, 1.605437943963413, 1.610266090180204, 1.6148047455413437, 1.621230732248684, 1.6260240501812053, 1.6795464802035045, 1.7001150585041527, 1.7043006107763095, 1.7280190192015854, 1.7602964175215694, 3.4295509749160944], "xaxis": "x", "yaxis": "y"}], {"barmode": "relative", "legend": {"tracegroupgap": 0}, "margin": {"t": 60}, "template": {"data": {"bar": [{"error_x": {"color": "rgb(36,36,36)"}, "error_y": {"color": "rgb(36,36,36)"}, "marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "baxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "rgb(231,231,240)"}, "line": {"color": "white"}}, "header": {"fill": {"color": "rgb(183,183,191)"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "rgb(67,103,167)"}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "colorscale": {"sequential": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "sequentialminus": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]]}, "colorway": ["rgb(76,114,176)", "rgb(221,132,82)", "rgb(85,168,104)", "rgb(196,78,82)", "rgb(129,114,179)", "rgb(147,120,96)", "rgb(218,139,195)", "rgb(140,140,140)", "rgb(204,185,116)", "rgb(100,181,205)"], "font": {"color": "rgb(36,36,36)"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "rgb(234,234,242)", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "paper_bgcolor": "white", "plot_bgcolor": "rgb(234,234,242)", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "radialaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"fillcolor": "rgb(67,103,167)", "line": {"width": 0}, "opacity": 0.5}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "caxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}}}, "xaxis": {"anchor": "y", "domain": [0.0, 1.0], "title": {"text": "energy"}}, "yaxis": {"anchor": "x", "domain": [0.0, 1.0], "title": {"text": "count"}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('da5166ce-cff5-47c7-b6eb-054b9beac6a9'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); ", "x": -9.236047474605448, "xanchor": "center", "y": -6.219695717965241, "yanchor": "auto", "z": 9.322739694342061e-17}], "camera": {"eye": {"x": 0, "y": 0, "z": 2.0}, "projection": {"type": "orthographic"}}, "xaxis": {"backgroundcolor": "rgba(0,0,0,0)", "gridcolor": "#dbdbdb", "gridwidth": 5.0, "showline": true, "tickfont": {"size": 16}, "ticklen": 14, "ticks": "inside", "title": {"font": {"size": 30}, "text": "\u03bcY2, -0.13956442742089903, -0.13913032628124702, -0.13664899103441613, -0.13557559051808213, -0.1287177577983344, -0.1283980995517496, -0.12222127569910947, -0.11814243739577031, -0.11740124763011342, -0.11489994619380098, -0.1142146560645211, -0.11275864429228995, -0.1096024368229068, -0.10484253542852598, -0.10452146091295247, -0.10273677306152332, -0.10243013596870491, -0.1016299041305034, -0.09072230658505422, -0.08982888089999409, -0.08560058212028274, -0.0848643069917153, -0.08369175384864268, -0.08254103942486529, -0.0814370240200953, -0.08088254740602863, -0.07719922449828796, -0.07696972582370185, -0.07649922529253576, -0.07631926080374948, -0.07434668265847695, -0.07304257991981707, -0.07127017344510522, -0.06811955298402693, -0.06641613561687439, -0.06377157172030697, -0.06332348524488077, -0.06309992497493132, -0.0629877321540442, -0.06195115343865365, -0.061742075751197965, -0.05907636522554885, -0.059037407838776625, -0.058040647831821376, -0.05704199366386662, -0.054925339757076995, -0.05454230595554818, -0.05251268305009913, -0.05103501348314575, -0.050224090011424076, -0.04792912666602962, -0.047737530079893, -0.04757497351690919, -0.04572491962828099, -0.04408802715571931, -0.04314733306814489, -0.04242183503907916, -0.04157649958180026, -0.041400329762652545, -0.03857708177549634, -0.038460369697261035, -0.036953786686562164, -0.036868388577507585, -0.03289180130231932, -0.032711155484437704, -0.032076783427077975, -0.031165766297465713, -0.028129552506168568, -0.02686967176644436, -0.025887391007694882, -0.025698362525092767, -0.024880809327579974, -0.024536889311244307, -0.023401317798101468, -0.022427646897401732, -0.021795541898906805, -0.01957696594515852, -0.01942105728798754, -0.0187653124401885, -0.018532459408548713, -0.017910210981486454, -0.014107741523398732, -0.013921051721290994, -0.013675330867087089, -0.011847985810513465, -0.010527198868418058, -0.009229392701099688, -0.008932129797219527, -0.007452914745133853, -0.0064338161231278935, -0.0038149466586508214, -0.002288334273327917, 0.002288334273327917, 0.0038149466586508214, 0.0064338161231278935, 0.007452914745133853, 0.008932129797219527, 0.009229392701099688, 0.010527198868418058, 0.011847985810513465, 0.013675330867087089, 0.013921051721290994, 0.014107741523398732, 0.017910210981486454, 0.018532459408548713, 0.0187653124401885, 0.01942105728798754, 0.01957696594515852, 0.021795541898906805, 0.022427646897401732, 0.023401317798101468, 0.024536889311244307, 0.024880809327579974, 0.025698362525092767, 0.025887391007694882, 0.02686967176644436, 0.028129552506168568, 0.031165766297465713, 0.032076783427077975, 0.032711155484437704, 0.03289180130231932, 0.036868388577507585, 0.036953786686562164, 0.038460369697261035, 0.03857708177549634, 0.041400329762652545, 0.04157649958180026, 0.04242183503907916, 0.04314733306814489, 0.04408802715571931, 0.04572491962828099, 0.04757497351690919, 0.047737530079893, 0.04792912666602962, 0.050224090011424076, 0.05103501348314575, 0.05251268305009913, 0.05454230595554818, 0.054925339757076995, 0.05704199366386662, 0.058040647831821376, 0.059037407838776625, 0.05907636522554885, 0.061742075751197965, 0.06195115343865365, 0.0629877321540442, 0.06309992497493132, 0.06332348524488077, 0.06377157172030697, 0.06641613561687439, 0.06811955298402693, 0.07127017344510522, 0.07304257991981707, 0.07434668265847695, 0.07631926080374948, 0.07649922529253576, 0.07696972582370185, 0.07719922449828796, 0.08088254740602863, 0.0814370240200953, 0.08254103942486529, 0.08369175384864268, 0.0848643069917153, 0.08560058212028274, 0.08982888089999409, 0.09072230658505422, 0.1016299041305034, 0.10243013596870491, 0.10273677306152332, 0.10452146091295247, 0.10484253542852598, 0.1096024368229068, 0.11275864429228995, 0.1142146560645211, 0.11489994619380098, 0.11740124763011342, 0.11814243739577031, 0.12222127569910947, 0.1283980995517496, 0.1287177577983344, 0.13557559051808213, 0.13664899103441613, 0.13913032628124702, 0.13956442742089903, 0.14994627459467522, 0.15206078652717814, 0.15590748209544605, 0.15904016844174224, 0.1623599728462332, 0.16362160546176235, 0.16484237519892356, 0.1789064693713693, 0.17923115749157517, 0.17968766648674928, 0.1820853136329261, 0.1841133931761701, 0.18538744733318926, 0.1870229232598624, 0.18745790819111308, 0.18858808907601282, 0.18877167811288575, 0.18936186444411152, 0.19026645430265854, 0.1951116558329767, 0.19836536657715442, 0.20221952495505774, 0.21129352229139492, 0.2144776693231931, 0.2180830858819882, 0.21943147649975464, 0.21979896660278606, 0.22217726615442768, 0.22510336644699075, 0.22589124118034648, 0.227919961360513, 0.23682873304115304, 0.24268662934988522, 0.2437097162296196, 0.24445116967069103, 0.2462235520321357, 0.24680591904880608, 0.24738671192335804, 0.2473955113981902, 0.24804499448879816, 0.249304988059164, 0.25006400239451454, 0.2502409971161638, 0.25095288130508125, 0.25327387127471757, 0.2539875720013527, 0.2545634965627493, 0.2566378578858469, 0.25687665053445413, 0.26227462824205905, 0.26648085291089235, 0.2666338448161429, 0.2682220737759482, 0.27046271907630254, 0.27157155434933256, 0.2821746088349758, 0.287284893964309, 0.29054742210792145, 0.29378225713841855, 0.2986838150763796, 0.3002462171517351, 0.3011905507168768, 0.3051051133144324, 0.3144195310139996, 0.3147664755809411, 0.316099082953608, 0.31914652786624165, 0.32190580559917364, 0.3312891283175204, 0.3326710328283608, 0.334418100324323, 0.34083186767529966, 0.34195360301042504, 0.3474814300401367, 0.3497355715237155, 0.35140758567474206, 0.35529219471809353, 0.356170205829102, 0.3566350104102197, 0.3593761709273384, 0.3628110582028559, 0.3677206458786336, 0.3718930524841081, 0.38293496146593364, 0.385672843616656, 0.3900334992727874, 0.3911219636767349, 0.39247389283820444, 0.399462268097455, 0.4101856911500031, 0.41290729195070763, 0.4195142964038215, 0.42163397569355854, 0.4272516540509306, 0.4439448902711589, 0.45057772972202004, 0.45263914484372436, 0.4605509881932589, 0.4692951646423313, 0.482383666378441, 0.49268817494548844, 0.49442768338169674, 0.4958464689043356, 0.5090480209069603, 0.530279185725927, 0.5394150094527203, 0.5402400539497964, 0.5583941274934692, 0.5710605532029679, 0.5878815952226052, 0.6086470916561867, 0.6104798348607998, 0.6195365293334537, 0.61959992475183, 0.6224799080556842, 0.641959451536511, 0.6432475254076767, 0.6463707803992377, 0.6503823787613954, 0.6530169121041588, 0.7147206698227438, 0.7220759849351598, 0.7245628823632008, 0.7429360761552188, 0.7466190036483783, 0.7513773746193134, 0.7611243616756599, 0.7698682492484907, 0.7789869995919191, 0.7832133998727533, 0.789848836023374, 0.7911435444757444, 0.7945562020195387, 0.8114562315941917, 0.8470913183167449, 0.8685338241181195, 0.8799079840841728, 0.9186826538783699, 0.9530097120055788, 0.9602591534601709, 0.966133947329489, 0.9730862995530939, 0.9752993437371588, 0.9763547740527354, 0.9872899029429585, 0.9878571202804521, 1.001945424334049, 1.0492664761534742, 1.0614576001728762, 1.1453288071774534, 1.2323521886205333, 1.241006972621295, 1.2500328261520415, 1.2679618134867274, 1.2800930763708003, 1.311916320417568, 1.3367030086269225, 1.3455103627286393, 1.3516157478209108, 1.3516627302825455, 1.3553937891765324, 1.3750409012538698, 1.390225255975148, 1.402678182817956, 1.4065991535084261, 1.407036582240258, 1.4077994769541982, 1.409693840427691, 1.4116054997924663, 1.4127371864873866, 1.4131447276760338, 1.4167679469522618, 1.4308987958691073, 1.4545450574386856, 1.456948016841024, 1.4591668645227942, 1.4603121600042968, 1.4695421365229804, 1.4760043892767285, 1.4779463752367874, 1.5084228002475104, 1.522031913318013, 1.5385122707768144, 1.5400389055534853, 1.5563052594896811, 1.601860924627827, 1.605437943963413, 1.610266090180204, 1.6148047455413437, 1.621230732248684, 1.6260240501812053, 1.6795464802035045, 1.7001150585041527, 1.7043006107763095, 1.7280190192015854, 1.7602964175215694, 3.4295509749160944], "xaxis": "x", "yaxis": "y"}], {"barmode": "relative", "legend": {"tracegroupgap": 0}, "margin": {"t": 60}, "template": {"data": {"bar": [{"error_x": {"color": "rgb(36,36,36)"}, "error_y": {"color": "rgb(36,36,36)"}, "marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "baxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "rgb(231,231,240)"}, "line": {"color": "white"}}, "header": {"fill": {"color": "rgb(183,183,191)"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "rgb(67,103,167)"}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "colorscale": {"sequential": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "sequentialminus": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]]}, "colorway": ["rgb(76,114,176)", "rgb(221,132,82)", "rgb(85,168,104)", "rgb(196,78,82)", "rgb(129,114,179)", "rgb(147,120,96)", "rgb(218,139,195)", "rgb(140,140,140)", "rgb(204,185,116)", "rgb(100,181,205)"], "font": {"color": "rgb(36,36,36)"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "rgb(234,234,242)", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "paper_bgcolor": "white", "plot_bgcolor": "rgb(234,234,242)", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "radialaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"fillcolor": "rgb(67,103,167)", "line": {"width": 0}, "opacity": 0.5}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "caxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}}}, "xaxis": {"anchor": "y", "domain": [0.0, 1.0], "title": {"text": "energy"}}, "yaxis": {"anchor": "x", "domain": [0.0, 1.0], "title": {"text": "count"}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('da5166ce-cff5-47c7-b6eb-054b9beac6a9'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); - \u03bcY03, -0.13913032628124702, -0.13664899103441613, -0.13557559051808213, -0.1287177577983344, -0.1283980995517496, -0.12222127569910947, -0.11814243739577031, -0.11740124763011342, -0.11489994619380098, -0.1142146560645211, -0.11275864429228995, -0.1096024368229068, -0.10484253542852598, -0.10452146091295247, -0.10273677306152332, -0.10243013596870491, -0.1016299041305034, -0.09072230658505422, -0.08982888089999409, -0.08560058212028274, -0.0848643069917153, -0.08369175384864268, -0.08254103942486529, -0.0814370240200953, -0.08088254740602863, -0.07719922449828796, -0.07696972582370185, -0.07649922529253576, -0.07631926080374948, -0.07434668265847695, -0.07304257991981707, -0.07127017344510522, -0.06811955298402693, -0.06641613561687439, -0.06377157172030697, -0.06332348524488077, -0.06309992497493132, -0.0629877321540442, -0.06195115343865365, -0.061742075751197965, -0.05907636522554885, -0.059037407838776625, -0.058040647831821376, -0.05704199366386662, -0.054925339757076995, -0.05454230595554818, -0.05251268305009913, -0.05103501348314575, -0.050224090011424076, -0.04792912666602962, -0.047737530079893, -0.04757497351690919, -0.04572491962828099, -0.04408802715571931, -0.04314733306814489, -0.04242183503907916, -0.04157649958180026, -0.041400329762652545, -0.03857708177549634, -0.038460369697261035, -0.036953786686562164, -0.036868388577507585, -0.03289180130231932, -0.032711155484437704, -0.032076783427077975, -0.031165766297465713, -0.028129552506168568, -0.02686967176644436, -0.025887391007694882, -0.025698362525092767, -0.024880809327579974, -0.024536889311244307, -0.023401317798101468, -0.022427646897401732, -0.021795541898906805, -0.01957696594515852, -0.01942105728798754, -0.0187653124401885, -0.018532459408548713, -0.017910210981486454, -0.014107741523398732, -0.013921051721290994, -0.013675330867087089, -0.011847985810513465, -0.010527198868418058, -0.009229392701099688, -0.008932129797219527, -0.007452914745133853, -0.0064338161231278935, -0.0038149466586508214, -0.002288334273327917, 0.002288334273327917, 0.0038149466586508214, 0.0064338161231278935, 0.007452914745133853, 0.008932129797219527, 0.009229392701099688, 0.010527198868418058, 0.011847985810513465, 0.013675330867087089, 0.013921051721290994, 0.014107741523398732, 0.017910210981486454, 0.018532459408548713, 0.0187653124401885, 0.01942105728798754, 0.01957696594515852, 0.021795541898906805, 0.022427646897401732, 0.023401317798101468, 0.024536889311244307, 0.024880809327579974, 0.025698362525092767, 0.025887391007694882, 0.02686967176644436, 0.028129552506168568, 0.031165766297465713, 0.032076783427077975, 0.032711155484437704, 0.03289180130231932, 0.036868388577507585, 0.036953786686562164, 0.038460369697261035, 0.03857708177549634, 0.041400329762652545, 0.04157649958180026, 0.04242183503907916, 0.04314733306814489, 0.04408802715571931, 0.04572491962828099, 0.04757497351690919, 0.047737530079893, 0.04792912666602962, 0.050224090011424076, 0.05103501348314575, 0.05251268305009913, 0.05454230595554818, 0.054925339757076995, 0.05704199366386662, 0.058040647831821376, 0.059037407838776625, 0.05907636522554885, 0.061742075751197965, 0.06195115343865365, 0.0629877321540442, 0.06309992497493132, 0.06332348524488077, 0.06377157172030697, 0.06641613561687439, 0.06811955298402693, 0.07127017344510522, 0.07304257991981707, 0.07434668265847695, 0.07631926080374948, 0.07649922529253576, 0.07696972582370185, 0.07719922449828796, 0.08088254740602863, 0.0814370240200953, 0.08254103942486529, 0.08369175384864268, 0.0848643069917153, 0.08560058212028274, 0.08982888089999409, 0.09072230658505422, 0.1016299041305034, 0.10243013596870491, 0.10273677306152332, 0.10452146091295247, 0.10484253542852598, 0.1096024368229068, 0.11275864429228995, 0.1142146560645211, 0.11489994619380098, 0.11740124763011342, 0.11814243739577031, 0.12222127569910947, 0.1283980995517496, 0.1287177577983344, 0.13557559051808213, 0.13664899103441613, 0.13913032628124702, 0.13956442742089903, 0.14994627459467522, 0.15206078652717814, 0.15590748209544605, 0.15904016844174224, 0.1623599728462332, 0.16362160546176235, 0.16484237519892356, 0.1789064693713693, 0.17923115749157517, 0.17968766648674928, 0.1820853136329261, 0.1841133931761701, 0.18538744733318926, 0.1870229232598624, 0.18745790819111308, 0.18858808907601282, 0.18877167811288575, 0.18936186444411152, 0.19026645430265854, 0.1951116558329767, 0.19836536657715442, 0.20221952495505774, 0.21129352229139492, 0.2144776693231931, 0.2180830858819882, 0.21943147649975464, 0.21979896660278606, 0.22217726615442768, 0.22510336644699075, 0.22589124118034648, 0.227919961360513, 0.23682873304115304, 0.24268662934988522, 0.2437097162296196, 0.24445116967069103, 0.2462235520321357, 0.24680591904880608, 0.24738671192335804, 0.2473955113981902, 0.24804499448879816, 0.249304988059164, 0.25006400239451454, 0.2502409971161638, 0.25095288130508125, 0.25327387127471757, 0.2539875720013527, 0.2545634965627493, 0.2566378578858469, 0.25687665053445413, 0.26227462824205905, 0.26648085291089235, 0.2666338448161429, 0.2682220737759482, 0.27046271907630254, 0.27157155434933256, 0.2821746088349758, 0.287284893964309, 0.29054742210792145, 0.29378225713841855, 0.2986838150763796, 0.3002462171517351, 0.3011905507168768, 0.3051051133144324, 0.3144195310139996, 0.3147664755809411, 0.316099082953608, 0.31914652786624165, 0.32190580559917364, 0.3312891283175204, 0.3326710328283608, 0.334418100324323, 0.34083186767529966, 0.34195360301042504, 0.3474814300401367, 0.3497355715237155, 0.35140758567474206, 0.35529219471809353, 0.356170205829102, 0.3566350104102197, 0.3593761709273384, 0.3628110582028559, 0.3677206458786336, 0.3718930524841081, 0.38293496146593364, 0.385672843616656, 0.3900334992727874, 0.3911219636767349, 0.39247389283820444, 0.399462268097455, 0.4101856911500031, 0.41290729195070763, 0.4195142964038215, 0.42163397569355854, 0.4272516540509306, 0.4439448902711589, 0.45057772972202004, 0.45263914484372436, 0.4605509881932589, 0.4692951646423313, 0.482383666378441, 0.49268817494548844, 0.49442768338169674, 0.4958464689043356, 0.5090480209069603, 0.530279185725927, 0.5394150094527203, 0.5402400539497964, 0.5583941274934692, 0.5710605532029679, 0.5878815952226052, 0.6086470916561867, 0.6104798348607998, 0.6195365293334537, 0.61959992475183, 0.6224799080556842, 0.641959451536511, 0.6432475254076767, 0.6463707803992377, 0.6503823787613954, 0.6530169121041588, 0.7147206698227438, 0.7220759849351598, 0.7245628823632008, 0.7429360761552188, 0.7466190036483783, 0.7513773746193134, 0.7611243616756599, 0.7698682492484907, 0.7789869995919191, 0.7832133998727533, 0.789848836023374, 0.7911435444757444, 0.7945562020195387, 0.8114562315941917, 0.8470913183167449, 0.8685338241181195, 0.8799079840841728, 0.9186826538783699, 0.9530097120055788, 0.9602591534601709, 0.966133947329489, 0.9730862995530939, 0.9752993437371588, 0.9763547740527354, 0.9872899029429585, 0.9878571202804521, 1.001945424334049, 1.0492664761534742, 1.0614576001728762, 1.1453288071774534, 1.2323521886205333, 1.241006972621295, 1.2500328261520415, 1.2679618134867274, 1.2800930763708003, 1.311916320417568, 1.3367030086269225, 1.3455103627286393, 1.3516157478209108, 1.3516627302825455, 1.3553937891765324, 1.3750409012538698, 1.390225255975148, 1.402678182817956, 1.4065991535084261, 1.407036582240258, 1.4077994769541982, 1.409693840427691, 1.4116054997924663, 1.4127371864873866, 1.4131447276760338, 1.4167679469522618, 1.4308987958691073, 1.4545450574386856, 1.456948016841024, 1.4591668645227942, 1.4603121600042968, 1.4695421365229804, 1.4760043892767285, 1.4779463752367874, 1.5084228002475104, 1.522031913318013, 1.5385122707768144, 1.5400389055534853, 1.5563052594896811, 1.601860924627827, 1.605437943963413, 1.610266090180204, 1.6148047455413437, 1.621230732248684, 1.6260240501812053, 1.6795464802035045, 1.7001150585041527, 1.7043006107763095, 1.7280190192015854, 1.7602964175215694, 3.4295509749160944], "xaxis": "x", "yaxis": "y"}], {"barmode": "relative", "legend": {"tracegroupgap": 0}, "margin": {"t": 60}, "template": {"data": {"bar": [{"error_x": {"color": "rgb(36,36,36)"}, "error_y": {"color": "rgb(36,36,36)"}, "marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "baxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "rgb(231,231,240)"}, "line": {"color": "white"}}, "header": {"fill": {"color": "rgb(183,183,191)"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "rgb(67,103,167)"}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "colorscale": {"sequential": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "sequentialminus": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]]}, "colorway": ["rgb(76,114,176)", "rgb(221,132,82)", "rgb(85,168,104)", "rgb(196,78,82)", "rgb(129,114,179)", "rgb(147,120,96)", "rgb(218,139,195)", "rgb(140,140,140)", "rgb(204,185,116)", "rgb(100,181,205)"], "font": {"color": "rgb(36,36,36)"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "rgb(234,234,242)", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "paper_bgcolor": "white", "plot_bgcolor": "rgb(234,234,242)", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "radialaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"fillcolor": "rgb(67,103,167)", "line": {"width": 0}, "opacity": 0.5}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "caxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}}}, "xaxis": {"anchor": "y", "domain": [0.0, 1.0], "title": {"text": "energy"}}, "yaxis": {"anchor": "x", "domain": [0.0, 1.0], "title": {"text": "count"}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('da5166ce-cff5-47c7-b6eb-054b9beac6a9'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); o032628124702, -0.13664899103441613, -0.13557559051808213, -0.1287177577983344, -0.1283980995517496, -0.12222127569910947, -0.11814243739577031, -0.11740124763011342, -0.11489994619380098, -0.1142146560645211, -0.11275864429228995, -0.1096024368229068, -0.10484253542852598, -0.10452146091295247, -0.10273677306152332, -0.10243013596870491, -0.1016299041305034, -0.09072230658505422, -0.08982888089999409, -0.08560058212028274, -0.0848643069917153, -0.08369175384864268, -0.08254103942486529, -0.0814370240200953, -0.08088254740602863, -0.07719922449828796, -0.07696972582370185, -0.07649922529253576, -0.07631926080374948, -0.07434668265847695, -0.07304257991981707, -0.07127017344510522, -0.06811955298402693, -0.06641613561687439, -0.06377157172030697, -0.06332348524488077, -0.06309992497493132, -0.0629877321540442, -0.06195115343865365, -0.061742075751197965, -0.05907636522554885, -0.059037407838776625, -0.058040647831821376, -0.05704199366386662, -0.054925339757076995, -0.05454230595554818, -0.05251268305009913, -0.05103501348314575, -0.050224090011424076, -0.04792912666602962, -0.047737530079893, -0.04757497351690919, -0.04572491962828099, -0.04408802715571931, -0.04314733306814489, -0.04242183503907916, -0.04157649958180026, -0.041400329762652545, -0.03857708177549634, -0.038460369697261035, -0.036953786686562164, -0.036868388577507585, -0.03289180130231932, -0.032711155484437704, -0.032076783427077975, -0.031165766297465713, -0.028129552506168568, -0.02686967176644436, -0.025887391007694882, -0.025698362525092767, -0.024880809327579974, -0.024536889311244307, -0.023401317798101468, -0.022427646897401732, -0.021795541898906805, -0.01957696594515852, -0.01942105728798754, -0.0187653124401885, -0.018532459408548713, -0.017910210981486454, -0.014107741523398732, -0.013921051721290994, -0.013675330867087089, -0.011847985810513465, -0.010527198868418058, -0.009229392701099688, -0.008932129797219527, -0.007452914745133853, -0.0064338161231278935, -0.0038149466586508214, -0.002288334273327917, 0.002288334273327917, 0.0038149466586508214, 0.0064338161231278935, 0.007452914745133853, 0.008932129797219527, 0.009229392701099688, 0.010527198868418058, 0.011847985810513465, 0.013675330867087089, 0.013921051721290994, 0.014107741523398732, 0.017910210981486454, 0.018532459408548713, 0.0187653124401885, 0.01942105728798754, 0.01957696594515852, 0.021795541898906805, 0.022427646897401732, 0.023401317798101468, 0.024536889311244307, 0.024880809327579974, 0.025698362525092767, 0.025887391007694882, 0.02686967176644436, 0.028129552506168568, 0.031165766297465713, 0.032076783427077975, 0.032711155484437704, 0.03289180130231932, 0.036868388577507585, 0.036953786686562164, 0.038460369697261035, 0.03857708177549634, 0.041400329762652545, 0.04157649958180026, 0.04242183503907916, 0.04314733306814489, 0.04408802715571931, 0.04572491962828099, 0.04757497351690919, 0.047737530079893, 0.04792912666602962, 0.050224090011424076, 0.05103501348314575, 0.05251268305009913, 0.05454230595554818, 0.054925339757076995, 0.05704199366386662, 0.058040647831821376, 0.059037407838776625, 0.05907636522554885, 0.061742075751197965, 0.06195115343865365, 0.0629877321540442, 0.06309992497493132, 0.06332348524488077, 0.06377157172030697, 0.06641613561687439, 0.06811955298402693, 0.07127017344510522, 0.07304257991981707, 0.07434668265847695, 0.07631926080374948, 0.07649922529253576, 0.07696972582370185, 0.07719922449828796, 0.08088254740602863, 0.0814370240200953, 0.08254103942486529, 0.08369175384864268, 0.0848643069917153, 0.08560058212028274, 0.08982888089999409, 0.09072230658505422, 0.1016299041305034, 0.10243013596870491, 0.10273677306152332, 0.10452146091295247, 0.10484253542852598, 0.1096024368229068, 0.11275864429228995, 0.1142146560645211, 0.11489994619380098, 0.11740124763011342, 0.11814243739577031, 0.12222127569910947, 0.1283980995517496, 0.1287177577983344, 0.13557559051808213, 0.13664899103441613, 0.13913032628124702, 0.13956442742089903, 0.14994627459467522, 0.15206078652717814, 0.15590748209544605, 0.15904016844174224, 0.1623599728462332, 0.16362160546176235, 0.16484237519892356, 0.1789064693713693, 0.17923115749157517, 0.17968766648674928, 0.1820853136329261, 0.1841133931761701, 0.18538744733318926, 0.1870229232598624, 0.18745790819111308, 0.18858808907601282, 0.18877167811288575, 0.18936186444411152, 0.19026645430265854, 0.1951116558329767, 0.19836536657715442, 0.20221952495505774, 0.21129352229139492, 0.2144776693231931, 0.2180830858819882, 0.21943147649975464, 0.21979896660278606, 0.22217726615442768, 0.22510336644699075, 0.22589124118034648, 0.227919961360513, 0.23682873304115304, 0.24268662934988522, 0.2437097162296196, 0.24445116967069103, 0.2462235520321357, 0.24680591904880608, 0.24738671192335804, 0.2473955113981902, 0.24804499448879816, 0.249304988059164, 0.25006400239451454, 0.2502409971161638, 0.25095288130508125, 0.25327387127471757, 0.2539875720013527, 0.2545634965627493, 0.2566378578858469, 0.25687665053445413, 0.26227462824205905, 0.26648085291089235, 0.2666338448161429, 0.2682220737759482, 0.27046271907630254, 0.27157155434933256, 0.2821746088349758, 0.287284893964309, 0.29054742210792145, 0.29378225713841855, 0.2986838150763796, 0.3002462171517351, 0.3011905507168768, 0.3051051133144324, 0.3144195310139996, 0.3147664755809411, 0.316099082953608, 0.31914652786624165, 0.32190580559917364, 0.3312891283175204, 0.3326710328283608, 0.334418100324323, 0.34083186767529966, 0.34195360301042504, 0.3474814300401367, 0.3497355715237155, 0.35140758567474206, 0.35529219471809353, 0.356170205829102, 0.3566350104102197, 0.3593761709273384, 0.3628110582028559, 0.3677206458786336, 0.3718930524841081, 0.38293496146593364, 0.385672843616656, 0.3900334992727874, 0.3911219636767349, 0.39247389283820444, 0.399462268097455, 0.4101856911500031, 0.41290729195070763, 0.4195142964038215, 0.42163397569355854, 0.4272516540509306, 0.4439448902711589, 0.45057772972202004, 0.45263914484372436, 0.4605509881932589, 0.4692951646423313, 0.482383666378441, 0.49268817494548844, 0.49442768338169674, 0.4958464689043356, 0.5090480209069603, 0.530279185725927, 0.5394150094527203, 0.5402400539497964, 0.5583941274934692, 0.5710605532029679, 0.5878815952226052, 0.6086470916561867, 0.6104798348607998, 0.6195365293334537, 0.61959992475183, 0.6224799080556842, 0.641959451536511, 0.6432475254076767, 0.6463707803992377, 0.6503823787613954, 0.6530169121041588, 0.7147206698227438, 0.7220759849351598, 0.7245628823632008, 0.7429360761552188, 0.7466190036483783, 0.7513773746193134, 0.7611243616756599, 0.7698682492484907, 0.7789869995919191, 0.7832133998727533, 0.789848836023374, 0.7911435444757444, 0.7945562020195387, 0.8114562315941917, 0.8470913183167449, 0.8685338241181195, 0.8799079840841728, 0.9186826538783699, 0.9530097120055788, 0.9602591534601709, 0.966133947329489, 0.9730862995530939, 0.9752993437371588, 0.9763547740527354, 0.9872899029429585, 0.9878571202804521, 1.001945424334049, 1.0492664761534742, 1.0614576001728762, 1.1453288071774534, 1.2323521886205333, 1.241006972621295, 1.2500328261520415, 1.2679618134867274, 1.2800930763708003, 1.311916320417568, 1.3367030086269225, 1.3455103627286393, 1.3516157478209108, 1.3516627302825455, 1.3553937891765324, 1.3750409012538698, 1.390225255975148, 1.402678182817956, 1.4065991535084261, 1.407036582240258, 1.4077994769541982, 1.409693840427691, 1.4116054997924663, 1.4127371864873866, 1.4131447276760338, 1.4167679469522618, 1.4308987958691073, 1.4545450574386856, 1.456948016841024, 1.4591668645227942, 1.4603121600042968, 1.4695421365229804, 1.4760043892767285, 1.4779463752367874, 1.5084228002475104, 1.522031913318013, 1.5385122707768144, 1.5400389055534853, 1.5563052594896811, 1.601860924627827, 1.605437943963413, 1.610266090180204, 1.6148047455413437, 1.621230732248684, 1.6260240501812053, 1.6795464802035045, 1.7001150585041527, 1.7043006107763095, 1.7280190192015854, 1.7602964175215694, 3.4295509749160944], "xaxis": "x", "yaxis": "y"}], {"barmode": "relative", "legend": {"tracegroupgap": 0}, "margin": {"t": 60}, "template": {"data": {"bar": [{"error_x": {"color": "rgb(36,36,36)"}, "error_y": {"color": "rgb(36,36,36)"}, "marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "baxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "rgb(231,231,240)"}, "line": {"color": "white"}}, "header": {"fill": {"color": "rgb(183,183,191)"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "rgb(67,103,167)"}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "colorscale": {"sequential": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "sequentialminus": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]]}, "colorway": ["rgb(76,114,176)", "rgb(221,132,82)", "rgb(85,168,104)", "rgb(196,78,82)", "rgb(129,114,179)", "rgb(147,120,96)", "rgb(218,139,195)", "rgb(140,140,140)", "rgb(204,185,116)", "rgb(100,181,205)"], "font": {"color": "rgb(36,36,36)"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "rgb(234,234,242)", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "paper_bgcolor": "white", "plot_bgcolor": "rgb(234,234,242)", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "radialaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"fillcolor": "rgb(67,103,167)", "line": {"width": 0}, "opacity": 0.5}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "caxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}}}, "xaxis": {"anchor": "y", "domain": [0.0, 1.0], "title": {"text": "energy"}}, "yaxis": {"anchor": "x", "domain": [0.0, 1.0], "title": {"text": "count"}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('da5166ce-cff5-47c7-b6eb-054b9beac6a9'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); (eV)"}}, "yaxis": {"backgroundcolor": "rgba(0,0,0,0)", "gridcolor": "#dbdbdb", "gridwidth": 5.0, "showline": true, "tickfont": {"size": 16}, "ticklen": 14, "ticks": "inside", "title": {"font": {"size": 30}, "text": "\u03bcMn96024368229068, -0.10484253542852598, -0.10452146091295247, -0.10273677306152332, -0.10243013596870491, -0.1016299041305034, -0.09072230658505422, -0.08982888089999409, -0.08560058212028274, -0.0848643069917153, -0.08369175384864268, -0.08254103942486529, -0.0814370240200953, -0.08088254740602863, -0.07719922449828796, -0.07696972582370185, -0.07649922529253576, -0.07631926080374948, -0.07434668265847695, -0.07304257991981707, -0.07127017344510522, -0.06811955298402693, -0.06641613561687439, -0.06377157172030697, -0.06332348524488077, -0.06309992497493132, -0.0629877321540442, -0.06195115343865365, -0.061742075751197965, -0.05907636522554885, -0.059037407838776625, -0.058040647831821376, -0.05704199366386662, -0.054925339757076995, -0.05454230595554818, -0.05251268305009913, -0.05103501348314575, -0.050224090011424076, -0.04792912666602962, -0.047737530079893, -0.04757497351690919, -0.04572491962828099, -0.04408802715571931, -0.04314733306814489, -0.04242183503907916, -0.04157649958180026, -0.041400329762652545, -0.03857708177549634, -0.038460369697261035, -0.036953786686562164, -0.036868388577507585, -0.03289180130231932, -0.032711155484437704, -0.032076783427077975, -0.031165766297465713, -0.028129552506168568, -0.02686967176644436, -0.025887391007694882, -0.025698362525092767, -0.024880809327579974, -0.024536889311244307, -0.023401317798101468, -0.022427646897401732, -0.021795541898906805, -0.01957696594515852, -0.01942105728798754, -0.0187653124401885, -0.018532459408548713, -0.017910210981486454, -0.014107741523398732, -0.013921051721290994, -0.013675330867087089, -0.011847985810513465, -0.010527198868418058, -0.009229392701099688, -0.008932129797219527, -0.007452914745133853, -0.0064338161231278935, -0.0038149466586508214, -0.002288334273327917, 0.002288334273327917, 0.0038149466586508214, 0.0064338161231278935, 0.007452914745133853, 0.008932129797219527, 0.009229392701099688, 0.010527198868418058, 0.011847985810513465, 0.013675330867087089, 0.013921051721290994, 0.014107741523398732, 0.017910210981486454, 0.018532459408548713, 0.0187653124401885, 0.01942105728798754, 0.01957696594515852, 0.021795541898906805, 0.022427646897401732, 0.023401317798101468, 0.024536889311244307, 0.024880809327579974, 0.025698362525092767, 0.025887391007694882, 0.02686967176644436, 0.028129552506168568, 0.031165766297465713, 0.032076783427077975, 0.032711155484437704, 0.03289180130231932, 0.036868388577507585, 0.036953786686562164, 0.038460369697261035, 0.03857708177549634, 0.041400329762652545, 0.04157649958180026, 0.04242183503907916, 0.04314733306814489, 0.04408802715571931, 0.04572491962828099, 0.04757497351690919, 0.047737530079893, 0.04792912666602962, 0.050224090011424076, 0.05103501348314575, 0.05251268305009913, 0.05454230595554818, 0.054925339757076995, 0.05704199366386662, 0.058040647831821376, 0.059037407838776625, 0.05907636522554885, 0.061742075751197965, 0.06195115343865365, 0.0629877321540442, 0.06309992497493132, 0.06332348524488077, 0.06377157172030697, 0.06641613561687439, 0.06811955298402693, 0.07127017344510522, 0.07304257991981707, 0.07434668265847695, 0.07631926080374948, 0.07649922529253576, 0.07696972582370185, 0.07719922449828796, 0.08088254740602863, 0.0814370240200953, 0.08254103942486529, 0.08369175384864268, 0.0848643069917153, 0.08560058212028274, 0.08982888089999409, 0.09072230658505422, 0.1016299041305034, 0.10243013596870491, 0.10273677306152332, 0.10452146091295247, 0.10484253542852598, 0.1096024368229068, 0.11275864429228995, 0.1142146560645211, 0.11489994619380098, 0.11740124763011342, 0.11814243739577031, 0.12222127569910947, 0.1283980995517496, 0.1287177577983344, 0.13557559051808213, 0.13664899103441613, 0.13913032628124702, 0.13956442742089903, 0.14994627459467522, 0.15206078652717814, 0.15590748209544605, 0.15904016844174224, 0.1623599728462332, 0.16362160546176235, 0.16484237519892356, 0.1789064693713693, 0.17923115749157517, 0.17968766648674928, 0.1820853136329261, 0.1841133931761701, 0.18538744733318926, 0.1870229232598624, 0.18745790819111308, 0.18858808907601282, 0.18877167811288575, 0.18936186444411152, 0.19026645430265854, 0.1951116558329767, 0.19836536657715442, 0.20221952495505774, 0.21129352229139492, 0.2144776693231931, 0.2180830858819882, 0.21943147649975464, 0.21979896660278606, 0.22217726615442768, 0.22510336644699075, 0.22589124118034648, 0.227919961360513, 0.23682873304115304, 0.24268662934988522, 0.2437097162296196, 0.24445116967069103, 0.2462235520321357, 0.24680591904880608, 0.24738671192335804, 0.2473955113981902, 0.24804499448879816, 0.249304988059164, 0.25006400239451454, 0.2502409971161638, 0.25095288130508125, 0.25327387127471757, 0.2539875720013527, 0.2545634965627493, 0.2566378578858469, 0.25687665053445413, 0.26227462824205905, 0.26648085291089235, 0.2666338448161429, 0.2682220737759482, 0.27046271907630254, 0.27157155434933256, 0.2821746088349758, 0.287284893964309, 0.29054742210792145, 0.29378225713841855, 0.2986838150763796, 0.3002462171517351, 0.3011905507168768, 0.3051051133144324, 0.3144195310139996, 0.3147664755809411, 0.316099082953608, 0.31914652786624165, 0.32190580559917364, 0.3312891283175204, 0.3326710328283608, 0.334418100324323, 0.34083186767529966, 0.34195360301042504, 0.3474814300401367, 0.3497355715237155, 0.35140758567474206, 0.35529219471809353, 0.356170205829102, 0.3566350104102197, 0.3593761709273384, 0.3628110582028559, 0.3677206458786336, 0.3718930524841081, 0.38293496146593364, 0.385672843616656, 0.3900334992727874, 0.3911219636767349, 0.39247389283820444, 0.399462268097455, 0.4101856911500031, 0.41290729195070763, 0.4195142964038215, 0.42163397569355854, 0.4272516540509306, 0.4439448902711589, 0.45057772972202004, 0.45263914484372436, 0.4605509881932589, 0.4692951646423313, 0.482383666378441, 0.49268817494548844, 0.49442768338169674, 0.4958464689043356, 0.5090480209069603, 0.530279185725927, 0.5394150094527203, 0.5402400539497964, 0.5583941274934692, 0.5710605532029679, 0.5878815952226052, 0.6086470916561867, 0.6104798348607998, 0.6195365293334537, 0.61959992475183, 0.6224799080556842, 0.641959451536511, 0.6432475254076767, 0.6463707803992377, 0.6503823787613954, 0.6530169121041588, 0.7147206698227438, 0.7220759849351598, 0.7245628823632008, 0.7429360761552188, 0.7466190036483783, 0.7513773746193134, 0.7611243616756599, 0.7698682492484907, 0.7789869995919191, 0.7832133998727533, 0.789848836023374, 0.7911435444757444, 0.7945562020195387, 0.8114562315941917, 0.8470913183167449, 0.8685338241181195, 0.8799079840841728, 0.9186826538783699, 0.9530097120055788, 0.9602591534601709, 0.966133947329489, 0.9730862995530939, 0.9752993437371588, 0.9763547740527354, 0.9872899029429585, 0.9878571202804521, 1.001945424334049, 1.0492664761534742, 1.0614576001728762, 1.1453288071774534, 1.2323521886205333, 1.241006972621295, 1.2500328261520415, 1.2679618134867274, 1.2800930763708003, 1.311916320417568, 1.3367030086269225, 1.3455103627286393, 1.3516157478209108, 1.3516627302825455, 1.3553937891765324, 1.3750409012538698, 1.390225255975148, 1.402678182817956, 1.4065991535084261, 1.407036582240258, 1.4077994769541982, 1.409693840427691, 1.4116054997924663, 1.4127371864873866, 1.4131447276760338, 1.4167679469522618, 1.4308987958691073, 1.4545450574386856, 1.456948016841024, 1.4591668645227942, 1.4603121600042968, 1.4695421365229804, 1.4760043892767285, 1.4779463752367874, 1.5084228002475104, 1.522031913318013, 1.5385122707768144, 1.5400389055534853, 1.5563052594896811, 1.601860924627827, 1.605437943963413, 1.610266090180204, 1.6148047455413437, 1.621230732248684, 1.6260240501812053, 1.6795464802035045, 1.7001150585041527, 1.7043006107763095, 1.7280190192015854, 1.7602964175215694, 3.4295509749160944], "xaxis": "x", "yaxis": "y"}], {"barmode": "relative", "legend": {"tracegroupgap": 0}, "margin": {"t": 60}, "template": {"data": {"bar": [{"error_x": {"color": "rgb(36,36,36)"}, "error_y": {"color": "rgb(36,36,36)"}, "marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "baxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "rgb(231,231,240)"}, "line": {"color": "white"}}, "header": {"fill": {"color": "rgb(183,183,191)"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "rgb(67,103,167)"}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "colorscale": {"sequential": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "sequentialminus": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]]}, "colorway": ["rgb(76,114,176)", "rgb(221,132,82)", "rgb(85,168,104)", "rgb(196,78,82)", "rgb(129,114,179)", "rgb(147,120,96)", "rgb(218,139,195)", "rgb(140,140,140)", "rgb(204,185,116)", "rgb(100,181,205)"], "font": {"color": "rgb(36,36,36)"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "rgb(234,234,242)", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "paper_bgcolor": "white", "plot_bgcolor": "rgb(234,234,242)", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "radialaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"fillcolor": "rgb(67,103,167)", "line": {"width": 0}, "opacity": 0.5}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "caxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}}}, "xaxis": {"anchor": "y", "domain": [0.0, 1.0], "title": {"text": "energy"}}, "yaxis": {"anchor": "x", "domain": [0.0, 1.0], "title": {"text": "count"}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('da5166ce-cff5-47c7-b6eb-054b9beac6a9'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); - \u03bcMn84253542852598, -0.10452146091295247, -0.10273677306152332, -0.10243013596870491, -0.1016299041305034, -0.09072230658505422, -0.08982888089999409, -0.08560058212028274, -0.0848643069917153, -0.08369175384864268, -0.08254103942486529, -0.0814370240200953, -0.08088254740602863, -0.07719922449828796, -0.07696972582370185, -0.07649922529253576, -0.07631926080374948, -0.07434668265847695, -0.07304257991981707, -0.07127017344510522, -0.06811955298402693, -0.06641613561687439, -0.06377157172030697, -0.06332348524488077, -0.06309992497493132, -0.0629877321540442, -0.06195115343865365, -0.061742075751197965, -0.05907636522554885, -0.059037407838776625, -0.058040647831821376, -0.05704199366386662, -0.054925339757076995, -0.05454230595554818, -0.05251268305009913, -0.05103501348314575, -0.050224090011424076, -0.04792912666602962, -0.047737530079893, -0.04757497351690919, -0.04572491962828099, -0.04408802715571931, -0.04314733306814489, -0.04242183503907916, -0.04157649958180026, -0.041400329762652545, -0.03857708177549634, -0.038460369697261035, -0.036953786686562164, -0.036868388577507585, -0.03289180130231932, -0.032711155484437704, -0.032076783427077975, -0.031165766297465713, -0.028129552506168568, -0.02686967176644436, -0.025887391007694882, -0.025698362525092767, -0.024880809327579974, -0.024536889311244307, -0.023401317798101468, -0.022427646897401732, -0.021795541898906805, -0.01957696594515852, -0.01942105728798754, -0.0187653124401885, -0.018532459408548713, -0.017910210981486454, -0.014107741523398732, -0.013921051721290994, -0.013675330867087089, -0.011847985810513465, -0.010527198868418058, -0.009229392701099688, -0.008932129797219527, -0.007452914745133853, -0.0064338161231278935, -0.0038149466586508214, -0.002288334273327917, 0.002288334273327917, 0.0038149466586508214, 0.0064338161231278935, 0.007452914745133853, 0.008932129797219527, 0.009229392701099688, 0.010527198868418058, 0.011847985810513465, 0.013675330867087089, 0.013921051721290994, 0.014107741523398732, 0.017910210981486454, 0.018532459408548713, 0.0187653124401885, 0.01942105728798754, 0.01957696594515852, 0.021795541898906805, 0.022427646897401732, 0.023401317798101468, 0.024536889311244307, 0.024880809327579974, 0.025698362525092767, 0.025887391007694882, 0.02686967176644436, 0.028129552506168568, 0.031165766297465713, 0.032076783427077975, 0.032711155484437704, 0.03289180130231932, 0.036868388577507585, 0.036953786686562164, 0.038460369697261035, 0.03857708177549634, 0.041400329762652545, 0.04157649958180026, 0.04242183503907916, 0.04314733306814489, 0.04408802715571931, 0.04572491962828099, 0.04757497351690919, 0.047737530079893, 0.04792912666602962, 0.050224090011424076, 0.05103501348314575, 0.05251268305009913, 0.05454230595554818, 0.054925339757076995, 0.05704199366386662, 0.058040647831821376, 0.059037407838776625, 0.05907636522554885, 0.061742075751197965, 0.06195115343865365, 0.0629877321540442, 0.06309992497493132, 0.06332348524488077, 0.06377157172030697, 0.06641613561687439, 0.06811955298402693, 0.07127017344510522, 0.07304257991981707, 0.07434668265847695, 0.07631926080374948, 0.07649922529253576, 0.07696972582370185, 0.07719922449828796, 0.08088254740602863, 0.0814370240200953, 0.08254103942486529, 0.08369175384864268, 0.0848643069917153, 0.08560058212028274, 0.08982888089999409, 0.09072230658505422, 0.1016299041305034, 0.10243013596870491, 0.10273677306152332, 0.10452146091295247, 0.10484253542852598, 0.1096024368229068, 0.11275864429228995, 0.1142146560645211, 0.11489994619380098, 0.11740124763011342, 0.11814243739577031, 0.12222127569910947, 0.1283980995517496, 0.1287177577983344, 0.13557559051808213, 0.13664899103441613, 0.13913032628124702, 0.13956442742089903, 0.14994627459467522, 0.15206078652717814, 0.15590748209544605, 0.15904016844174224, 0.1623599728462332, 0.16362160546176235, 0.16484237519892356, 0.1789064693713693, 0.17923115749157517, 0.17968766648674928, 0.1820853136329261, 0.1841133931761701, 0.18538744733318926, 0.1870229232598624, 0.18745790819111308, 0.18858808907601282, 0.18877167811288575, 0.18936186444411152, 0.19026645430265854, 0.1951116558329767, 0.19836536657715442, 0.20221952495505774, 0.21129352229139492, 0.2144776693231931, 0.2180830858819882, 0.21943147649975464, 0.21979896660278606, 0.22217726615442768, 0.22510336644699075, 0.22589124118034648, 0.227919961360513, 0.23682873304115304, 0.24268662934988522, 0.2437097162296196, 0.24445116967069103, 0.2462235520321357, 0.24680591904880608, 0.24738671192335804, 0.2473955113981902, 0.24804499448879816, 0.249304988059164, 0.25006400239451454, 0.2502409971161638, 0.25095288130508125, 0.25327387127471757, 0.2539875720013527, 0.2545634965627493, 0.2566378578858469, 0.25687665053445413, 0.26227462824205905, 0.26648085291089235, 0.2666338448161429, 0.2682220737759482, 0.27046271907630254, 0.27157155434933256, 0.2821746088349758, 0.287284893964309, 0.29054742210792145, 0.29378225713841855, 0.2986838150763796, 0.3002462171517351, 0.3011905507168768, 0.3051051133144324, 0.3144195310139996, 0.3147664755809411, 0.316099082953608, 0.31914652786624165, 0.32190580559917364, 0.3312891283175204, 0.3326710328283608, 0.334418100324323, 0.34083186767529966, 0.34195360301042504, 0.3474814300401367, 0.3497355715237155, 0.35140758567474206, 0.35529219471809353, 0.356170205829102, 0.3566350104102197, 0.3593761709273384, 0.3628110582028559, 0.3677206458786336, 0.3718930524841081, 0.38293496146593364, 0.385672843616656, 0.3900334992727874, 0.3911219636767349, 0.39247389283820444, 0.399462268097455, 0.4101856911500031, 0.41290729195070763, 0.4195142964038215, 0.42163397569355854, 0.4272516540509306, 0.4439448902711589, 0.45057772972202004, 0.45263914484372436, 0.4605509881932589, 0.4692951646423313, 0.482383666378441, 0.49268817494548844, 0.49442768338169674, 0.4958464689043356, 0.5090480209069603, 0.530279185725927, 0.5394150094527203, 0.5402400539497964, 0.5583941274934692, 0.5710605532029679, 0.5878815952226052, 0.6086470916561867, 0.6104798348607998, 0.6195365293334537, 0.61959992475183, 0.6224799080556842, 0.641959451536511, 0.6432475254076767, 0.6463707803992377, 0.6503823787613954, 0.6530169121041588, 0.7147206698227438, 0.7220759849351598, 0.7245628823632008, 0.7429360761552188, 0.7466190036483783, 0.7513773746193134, 0.7611243616756599, 0.7698682492484907, 0.7789869995919191, 0.7832133998727533, 0.789848836023374, 0.7911435444757444, 0.7945562020195387, 0.8114562315941917, 0.8470913183167449, 0.8685338241181195, 0.8799079840841728, 0.9186826538783699, 0.9530097120055788, 0.9602591534601709, 0.966133947329489, 0.9730862995530939, 0.9752993437371588, 0.9763547740527354, 0.9872899029429585, 0.9878571202804521, 1.001945424334049, 1.0492664761534742, 1.0614576001728762, 1.1453288071774534, 1.2323521886205333, 1.241006972621295, 1.2500328261520415, 1.2679618134867274, 1.2800930763708003, 1.311916320417568, 1.3367030086269225, 1.3455103627286393, 1.3516157478209108, 1.3516627302825455, 1.3553937891765324, 1.3750409012538698, 1.390225255975148, 1.402678182817956, 1.4065991535084261, 1.407036582240258, 1.4077994769541982, 1.409693840427691, 1.4116054997924663, 1.4127371864873866, 1.4131447276760338, 1.4167679469522618, 1.4308987958691073, 1.4545450574386856, 1.456948016841024, 1.4591668645227942, 1.4603121600042968, 1.4695421365229804, 1.4760043892767285, 1.4779463752367874, 1.5084228002475104, 1.522031913318013, 1.5385122707768144, 1.5400389055534853, 1.5563052594896811, 1.601860924627827, 1.605437943963413, 1.610266090180204, 1.6148047455413437, 1.621230732248684, 1.6260240501812053, 1.6795464802035045, 1.7001150585041527, 1.7043006107763095, 1.7280190192015854, 1.7602964175215694, 3.4295509749160944], "xaxis": "x", "yaxis": "y"}], {"barmode": "relative", "legend": {"tracegroupgap": 0}, "margin": {"t": 60}, "template": {"data": {"bar": [{"error_x": {"color": "rgb(36,36,36)"}, "error_y": {"color": "rgb(36,36,36)"}, "marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "baxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "rgb(231,231,240)"}, "line": {"color": "white"}}, "header": {"fill": {"color": "rgb(183,183,191)"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "rgb(67,103,167)"}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "colorscale": {"sequential": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "sequentialminus": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]]}, "colorway": ["rgb(76,114,176)", "rgb(221,132,82)", "rgb(85,168,104)", "rgb(196,78,82)", "rgb(129,114,179)", "rgb(147,120,96)", "rgb(218,139,195)", "rgb(140,140,140)", "rgb(204,185,116)", "rgb(100,181,205)"], "font": {"color": "rgb(36,36,36)"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "rgb(234,234,242)", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "paper_bgcolor": "white", "plot_bgcolor": "rgb(234,234,242)", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "radialaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"fillcolor": "rgb(67,103,167)", "line": {"width": 0}, "opacity": 0.5}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "caxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}}}, "xaxis": {"anchor": "y", "domain": [0.0, 1.0], "title": {"text": "energy"}}, "yaxis": {"anchor": "x", "domain": [0.0, 1.0], "title": {"text": "count"}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('da5166ce-cff5-47c7-b6eb-054b9beac6a9'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); o98, -0.10452146091295247, -0.10273677306152332, -0.10243013596870491, -0.1016299041305034, -0.09072230658505422, -0.08982888089999409, -0.08560058212028274, -0.0848643069917153, -0.08369175384864268, -0.08254103942486529, -0.0814370240200953, -0.08088254740602863, -0.07719922449828796, -0.07696972582370185, -0.07649922529253576, -0.07631926080374948, -0.07434668265847695, -0.07304257991981707, -0.07127017344510522, -0.06811955298402693, -0.06641613561687439, -0.06377157172030697, -0.06332348524488077, -0.06309992497493132, -0.0629877321540442, -0.06195115343865365, -0.061742075751197965, -0.05907636522554885, -0.059037407838776625, -0.058040647831821376, -0.05704199366386662, -0.054925339757076995, -0.05454230595554818, -0.05251268305009913, -0.05103501348314575, -0.050224090011424076, -0.04792912666602962, -0.047737530079893, -0.04757497351690919, -0.04572491962828099, -0.04408802715571931, -0.04314733306814489, -0.04242183503907916, -0.04157649958180026, -0.041400329762652545, -0.03857708177549634, -0.038460369697261035, -0.036953786686562164, -0.036868388577507585, -0.03289180130231932, -0.032711155484437704, -0.032076783427077975, -0.031165766297465713, -0.028129552506168568, -0.02686967176644436, -0.025887391007694882, -0.025698362525092767, -0.024880809327579974, -0.024536889311244307, -0.023401317798101468, -0.022427646897401732, -0.021795541898906805, -0.01957696594515852, -0.01942105728798754, -0.0187653124401885, -0.018532459408548713, -0.017910210981486454, -0.014107741523398732, -0.013921051721290994, -0.013675330867087089, -0.011847985810513465, -0.010527198868418058, -0.009229392701099688, -0.008932129797219527, -0.007452914745133853, -0.0064338161231278935, -0.0038149466586508214, -0.002288334273327917, 0.002288334273327917, 0.0038149466586508214, 0.0064338161231278935, 0.007452914745133853, 0.008932129797219527, 0.009229392701099688, 0.010527198868418058, 0.011847985810513465, 0.013675330867087089, 0.013921051721290994, 0.014107741523398732, 0.017910210981486454, 0.018532459408548713, 0.0187653124401885, 0.01942105728798754, 0.01957696594515852, 0.021795541898906805, 0.022427646897401732, 0.023401317798101468, 0.024536889311244307, 0.024880809327579974, 0.025698362525092767, 0.025887391007694882, 0.02686967176644436, 0.028129552506168568, 0.031165766297465713, 0.032076783427077975, 0.032711155484437704, 0.03289180130231932, 0.036868388577507585, 0.036953786686562164, 0.038460369697261035, 0.03857708177549634, 0.041400329762652545, 0.04157649958180026, 0.04242183503907916, 0.04314733306814489, 0.04408802715571931, 0.04572491962828099, 0.04757497351690919, 0.047737530079893, 0.04792912666602962, 0.050224090011424076, 0.05103501348314575, 0.05251268305009913, 0.05454230595554818, 0.054925339757076995, 0.05704199366386662, 0.058040647831821376, 0.059037407838776625, 0.05907636522554885, 0.061742075751197965, 0.06195115343865365, 0.0629877321540442, 0.06309992497493132, 0.06332348524488077, 0.06377157172030697, 0.06641613561687439, 0.06811955298402693, 0.07127017344510522, 0.07304257991981707, 0.07434668265847695, 0.07631926080374948, 0.07649922529253576, 0.07696972582370185, 0.07719922449828796, 0.08088254740602863, 0.0814370240200953, 0.08254103942486529, 0.08369175384864268, 0.0848643069917153, 0.08560058212028274, 0.08982888089999409, 0.09072230658505422, 0.1016299041305034, 0.10243013596870491, 0.10273677306152332, 0.10452146091295247, 0.10484253542852598, 0.1096024368229068, 0.11275864429228995, 0.1142146560645211, 0.11489994619380098, 0.11740124763011342, 0.11814243739577031, 0.12222127569910947, 0.1283980995517496, 0.1287177577983344, 0.13557559051808213, 0.13664899103441613, 0.13913032628124702, 0.13956442742089903, 0.14994627459467522, 0.15206078652717814, 0.15590748209544605, 0.15904016844174224, 0.1623599728462332, 0.16362160546176235, 0.16484237519892356, 0.1789064693713693, 0.17923115749157517, 0.17968766648674928, 0.1820853136329261, 0.1841133931761701, 0.18538744733318926, 0.1870229232598624, 0.18745790819111308, 0.18858808907601282, 0.18877167811288575, 0.18936186444411152, 0.19026645430265854, 0.1951116558329767, 0.19836536657715442, 0.20221952495505774, 0.21129352229139492, 0.2144776693231931, 0.2180830858819882, 0.21943147649975464, 0.21979896660278606, 0.22217726615442768, 0.22510336644699075, 0.22589124118034648, 0.227919961360513, 0.23682873304115304, 0.24268662934988522, 0.2437097162296196, 0.24445116967069103, 0.2462235520321357, 0.24680591904880608, 0.24738671192335804, 0.2473955113981902, 0.24804499448879816, 0.249304988059164, 0.25006400239451454, 0.2502409971161638, 0.25095288130508125, 0.25327387127471757, 0.2539875720013527, 0.2545634965627493, 0.2566378578858469, 0.25687665053445413, 0.26227462824205905, 0.26648085291089235, 0.2666338448161429, 0.2682220737759482, 0.27046271907630254, 0.27157155434933256, 0.2821746088349758, 0.287284893964309, 0.29054742210792145, 0.29378225713841855, 0.2986838150763796, 0.3002462171517351, 0.3011905507168768, 0.3051051133144324, 0.3144195310139996, 0.3147664755809411, 0.316099082953608, 0.31914652786624165, 0.32190580559917364, 0.3312891283175204, 0.3326710328283608, 0.334418100324323, 0.34083186767529966, 0.34195360301042504, 0.3474814300401367, 0.3497355715237155, 0.35140758567474206, 0.35529219471809353, 0.356170205829102, 0.3566350104102197, 0.3593761709273384, 0.3628110582028559, 0.3677206458786336, 0.3718930524841081, 0.38293496146593364, 0.385672843616656, 0.3900334992727874, 0.3911219636767349, 0.39247389283820444, 0.399462268097455, 0.4101856911500031, 0.41290729195070763, 0.4195142964038215, 0.42163397569355854, 0.4272516540509306, 0.4439448902711589, 0.45057772972202004, 0.45263914484372436, 0.4605509881932589, 0.4692951646423313, 0.482383666378441, 0.49268817494548844, 0.49442768338169674, 0.4958464689043356, 0.5090480209069603, 0.530279185725927, 0.5394150094527203, 0.5402400539497964, 0.5583941274934692, 0.5710605532029679, 0.5878815952226052, 0.6086470916561867, 0.6104798348607998, 0.6195365293334537, 0.61959992475183, 0.6224799080556842, 0.641959451536511, 0.6432475254076767, 0.6463707803992377, 0.6503823787613954, 0.6530169121041588, 0.7147206698227438, 0.7220759849351598, 0.7245628823632008, 0.7429360761552188, 0.7466190036483783, 0.7513773746193134, 0.7611243616756599, 0.7698682492484907, 0.7789869995919191, 0.7832133998727533, 0.789848836023374, 0.7911435444757444, 0.7945562020195387, 0.8114562315941917, 0.8470913183167449, 0.8685338241181195, 0.8799079840841728, 0.9186826538783699, 0.9530097120055788, 0.9602591534601709, 0.966133947329489, 0.9730862995530939, 0.9752993437371588, 0.9763547740527354, 0.9872899029429585, 0.9878571202804521, 1.001945424334049, 1.0492664761534742, 1.0614576001728762, 1.1453288071774534, 1.2323521886205333, 1.241006972621295, 1.2500328261520415, 1.2679618134867274, 1.2800930763708003, 1.311916320417568, 1.3367030086269225, 1.3455103627286393, 1.3516157478209108, 1.3516627302825455, 1.3553937891765324, 1.3750409012538698, 1.390225255975148, 1.402678182817956, 1.4065991535084261, 1.407036582240258, 1.4077994769541982, 1.409693840427691, 1.4116054997924663, 1.4127371864873866, 1.4131447276760338, 1.4167679469522618, 1.4308987958691073, 1.4545450574386856, 1.456948016841024, 1.4591668645227942, 1.4603121600042968, 1.4695421365229804, 1.4760043892767285, 1.4779463752367874, 1.5084228002475104, 1.522031913318013, 1.5385122707768144, 1.5400389055534853, 1.5563052594896811, 1.601860924627827, 1.605437943963413, 1.610266090180204, 1.6148047455413437, 1.621230732248684, 1.6260240501812053, 1.6795464802035045, 1.7001150585041527, 1.7043006107763095, 1.7280190192015854, 1.7602964175215694, 3.4295509749160944], "xaxis": "x", "yaxis": "y"}], {"barmode": "relative", "legend": {"tracegroupgap": 0}, "margin": {"t": 60}, "template": {"data": {"bar": [{"error_x": {"color": "rgb(36,36,36)"}, "error_y": {"color": "rgb(36,36,36)"}, "marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "baxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "rgb(231,231,240)"}, "line": {"color": "white"}}, "header": {"fill": {"color": "rgb(183,183,191)"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "rgb(67,103,167)"}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "colorscale": {"sequential": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "sequentialminus": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]]}, "colorway": ["rgb(76,114,176)", "rgb(221,132,82)", "rgb(85,168,104)", "rgb(196,78,82)", "rgb(129,114,179)", "rgb(147,120,96)", "rgb(218,139,195)", "rgb(140,140,140)", "rgb(204,185,116)", "rgb(100,181,205)"], "font": {"color": "rgb(36,36,36)"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "rgb(234,234,242)", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "paper_bgcolor": "white", "plot_bgcolor": "rgb(234,234,242)", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "radialaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"fillcolor": "rgb(67,103,167)", "line": {"width": 0}, "opacity": 0.5}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "caxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}}}, "xaxis": {"anchor": "y", "domain": [0.0, 1.0], "title": {"text": "energy"}}, "yaxis": {"anchor": "x", "domain": [0.0, 1.0], "title": {"text": "count"}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('da5166ce-cff5-47c7-b6eb-054b9beac6a9'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); (eV)"}}, "zaxis": {"backgroundcolor": "rgba(0,0,0,0)", "gridcolor": "#dbdbdb", "gridwidth": 5.0, "showline": true, "tickfont": {"size": 16}, "ticklen": 14, "ticks": "inside", "title": {"font": {"size": 30}, "text": "\u03bcO200953, -0.08088254740602863, -0.07719922449828796, -0.07696972582370185, -0.07649922529253576, -0.07631926080374948, -0.07434668265847695, -0.07304257991981707, -0.07127017344510522, -0.06811955298402693, -0.06641613561687439, -0.06377157172030697, -0.06332348524488077, -0.06309992497493132, -0.0629877321540442, -0.06195115343865365, -0.061742075751197965, -0.05907636522554885, -0.059037407838776625, -0.058040647831821376, -0.05704199366386662, -0.054925339757076995, -0.05454230595554818, -0.05251268305009913, -0.05103501348314575, -0.050224090011424076, -0.04792912666602962, -0.047737530079893, -0.04757497351690919, -0.04572491962828099, -0.04408802715571931, -0.04314733306814489, -0.04242183503907916, -0.04157649958180026, -0.041400329762652545, -0.03857708177549634, -0.038460369697261035, -0.036953786686562164, -0.036868388577507585, -0.03289180130231932, -0.032711155484437704, -0.032076783427077975, -0.031165766297465713, -0.028129552506168568, -0.02686967176644436, -0.025887391007694882, -0.025698362525092767, -0.024880809327579974, -0.024536889311244307, -0.023401317798101468, -0.022427646897401732, -0.021795541898906805, -0.01957696594515852, -0.01942105728798754, -0.0187653124401885, -0.018532459408548713, -0.017910210981486454, -0.014107741523398732, -0.013921051721290994, -0.013675330867087089, -0.011847985810513465, -0.010527198868418058, -0.009229392701099688, -0.008932129797219527, -0.007452914745133853, -0.0064338161231278935, -0.0038149466586508214, -0.002288334273327917, 0.002288334273327917, 0.0038149466586508214, 0.0064338161231278935, 0.007452914745133853, 0.008932129797219527, 0.009229392701099688, 0.010527198868418058, 0.011847985810513465, 0.013675330867087089, 0.013921051721290994, 0.014107741523398732, 0.017910210981486454, 0.018532459408548713, 0.0187653124401885, 0.01942105728798754, 0.01957696594515852, 0.021795541898906805, 0.022427646897401732, 0.023401317798101468, 0.024536889311244307, 0.024880809327579974, 0.025698362525092767, 0.025887391007694882, 0.02686967176644436, 0.028129552506168568, 0.031165766297465713, 0.032076783427077975, 0.032711155484437704, 0.03289180130231932, 0.036868388577507585, 0.036953786686562164, 0.038460369697261035, 0.03857708177549634, 0.041400329762652545, 0.04157649958180026, 0.04242183503907916, 0.04314733306814489, 0.04408802715571931, 0.04572491962828099, 0.04757497351690919, 0.047737530079893, 0.04792912666602962, 0.050224090011424076, 0.05103501348314575, 0.05251268305009913, 0.05454230595554818, 0.054925339757076995, 0.05704199366386662, 0.058040647831821376, 0.059037407838776625, 0.05907636522554885, 0.061742075751197965, 0.06195115343865365, 0.0629877321540442, 0.06309992497493132, 0.06332348524488077, 0.06377157172030697, 0.06641613561687439, 0.06811955298402693, 0.07127017344510522, 0.07304257991981707, 0.07434668265847695, 0.07631926080374948, 0.07649922529253576, 0.07696972582370185, 0.07719922449828796, 0.08088254740602863, 0.0814370240200953, 0.08254103942486529, 0.08369175384864268, 0.0848643069917153, 0.08560058212028274, 0.08982888089999409, 0.09072230658505422, 0.1016299041305034, 0.10243013596870491, 0.10273677306152332, 0.10452146091295247, 0.10484253542852598, 0.1096024368229068, 0.11275864429228995, 0.1142146560645211, 0.11489994619380098, 0.11740124763011342, 0.11814243739577031, 0.12222127569910947, 0.1283980995517496, 0.1287177577983344, 0.13557559051808213, 0.13664899103441613, 0.13913032628124702, 0.13956442742089903, 0.14994627459467522, 0.15206078652717814, 0.15590748209544605, 0.15904016844174224, 0.1623599728462332, 0.16362160546176235, 0.16484237519892356, 0.1789064693713693, 0.17923115749157517, 0.17968766648674928, 0.1820853136329261, 0.1841133931761701, 0.18538744733318926, 0.1870229232598624, 0.18745790819111308, 0.18858808907601282, 0.18877167811288575, 0.18936186444411152, 0.19026645430265854, 0.1951116558329767, 0.19836536657715442, 0.20221952495505774, 0.21129352229139492, 0.2144776693231931, 0.2180830858819882, 0.21943147649975464, 0.21979896660278606, 0.22217726615442768, 0.22510336644699075, 0.22589124118034648, 0.227919961360513, 0.23682873304115304, 0.24268662934988522, 0.2437097162296196, 0.24445116967069103, 0.2462235520321357, 0.24680591904880608, 0.24738671192335804, 0.2473955113981902, 0.24804499448879816, 0.249304988059164, 0.25006400239451454, 0.2502409971161638, 0.25095288130508125, 0.25327387127471757, 0.2539875720013527, 0.2545634965627493, 0.2566378578858469, 0.25687665053445413, 0.26227462824205905, 0.26648085291089235, 0.2666338448161429, 0.2682220737759482, 0.27046271907630254, 0.27157155434933256, 0.2821746088349758, 0.287284893964309, 0.29054742210792145, 0.29378225713841855, 0.2986838150763796, 0.3002462171517351, 0.3011905507168768, 0.3051051133144324, 0.3144195310139996, 0.3147664755809411, 0.316099082953608, 0.31914652786624165, 0.32190580559917364, 0.3312891283175204, 0.3326710328283608, 0.334418100324323, 0.34083186767529966, 0.34195360301042504, 0.3474814300401367, 0.3497355715237155, 0.35140758567474206, 0.35529219471809353, 0.356170205829102, 0.3566350104102197, 0.3593761709273384, 0.3628110582028559, 0.3677206458786336, 0.3718930524841081, 0.38293496146593364, 0.385672843616656, 0.3900334992727874, 0.3911219636767349, 0.39247389283820444, 0.399462268097455, 0.4101856911500031, 0.41290729195070763, 0.4195142964038215, 0.42163397569355854, 0.4272516540509306, 0.4439448902711589, 0.45057772972202004, 0.45263914484372436, 0.4605509881932589, 0.4692951646423313, 0.482383666378441, 0.49268817494548844, 0.49442768338169674, 0.4958464689043356, 0.5090480209069603, 0.530279185725927, 0.5394150094527203, 0.5402400539497964, 0.5583941274934692, 0.5710605532029679, 0.5878815952226052, 0.6086470916561867, 0.6104798348607998, 0.6195365293334537, 0.61959992475183, 0.6224799080556842, 0.641959451536511, 0.6432475254076767, 0.6463707803992377, 0.6503823787613954, 0.6530169121041588, 0.7147206698227438, 0.7220759849351598, 0.7245628823632008, 0.7429360761552188, 0.7466190036483783, 0.7513773746193134, 0.7611243616756599, 0.7698682492484907, 0.7789869995919191, 0.7832133998727533, 0.789848836023374, 0.7911435444757444, 0.7945562020195387, 0.8114562315941917, 0.8470913183167449, 0.8685338241181195, 0.8799079840841728, 0.9186826538783699, 0.9530097120055788, 0.9602591534601709, 0.966133947329489, 0.9730862995530939, 0.9752993437371588, 0.9763547740527354, 0.9872899029429585, 0.9878571202804521, 1.001945424334049, 1.0492664761534742, 1.0614576001728762, 1.1453288071774534, 1.2323521886205333, 1.241006972621295, 1.2500328261520415, 1.2679618134867274, 1.2800930763708003, 1.311916320417568, 1.3367030086269225, 1.3455103627286393, 1.3516157478209108, 1.3516627302825455, 1.3553937891765324, 1.3750409012538698, 1.390225255975148, 1.402678182817956, 1.4065991535084261, 1.407036582240258, 1.4077994769541982, 1.409693840427691, 1.4116054997924663, 1.4127371864873866, 1.4131447276760338, 1.4167679469522618, 1.4308987958691073, 1.4545450574386856, 1.456948016841024, 1.4591668645227942, 1.4603121600042968, 1.4695421365229804, 1.4760043892767285, 1.4779463752367874, 1.5084228002475104, 1.522031913318013, 1.5385122707768144, 1.5400389055534853, 1.5563052594896811, 1.601860924627827, 1.605437943963413, 1.610266090180204, 1.6148047455413437, 1.621230732248684, 1.6260240501812053, 1.6795464802035045, 1.7001150585041527, 1.7043006107763095, 1.7280190192015854, 1.7602964175215694, 3.4295509749160944], "xaxis": "x", "yaxis": "y"}], {"barmode": "relative", "legend": {"tracegroupgap": 0}, "margin": {"t": 60}, "template": {"data": {"bar": [{"error_x": {"color": "rgb(36,36,36)"}, "error_y": {"color": "rgb(36,36,36)"}, "marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "baxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "rgb(231,231,240)"}, "line": {"color": "white"}}, "header": {"fill": {"color": "rgb(183,183,191)"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "rgb(67,103,167)"}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "colorscale": {"sequential": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "sequentialminus": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]]}, "colorway": ["rgb(76,114,176)", "rgb(221,132,82)", "rgb(85,168,104)", "rgb(196,78,82)", "rgb(129,114,179)", "rgb(147,120,96)", "rgb(218,139,195)", "rgb(140,140,140)", "rgb(204,185,116)", "rgb(100,181,205)"], "font": {"color": "rgb(36,36,36)"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "rgb(234,234,242)", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "paper_bgcolor": "white", "plot_bgcolor": "rgb(234,234,242)", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "radialaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"fillcolor": "rgb(67,103,167)", "line": {"width": 0}, "opacity": 0.5}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "caxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}}}, "xaxis": {"anchor": "y", "domain": [0.0, 1.0], "title": {"text": "energy"}}, "yaxis": {"anchor": "x", "domain": [0.0, 1.0], "title": {"text": "count"}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('da5166ce-cff5-47c7-b6eb-054b9beac6a9'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); - \u03bcO0602863, -0.07719922449828796, -0.07696972582370185, -0.07649922529253576, -0.07631926080374948, -0.07434668265847695, -0.07304257991981707, -0.07127017344510522, -0.06811955298402693, -0.06641613561687439, -0.06377157172030697, -0.06332348524488077, -0.06309992497493132, -0.0629877321540442, -0.06195115343865365, -0.061742075751197965, -0.05907636522554885, -0.059037407838776625, -0.058040647831821376, -0.05704199366386662, -0.054925339757076995, -0.05454230595554818, -0.05251268305009913, -0.05103501348314575, -0.050224090011424076, -0.04792912666602962, -0.047737530079893, -0.04757497351690919, -0.04572491962828099, -0.04408802715571931, -0.04314733306814489, -0.04242183503907916, -0.04157649958180026, -0.041400329762652545, -0.03857708177549634, -0.038460369697261035, -0.036953786686562164, -0.036868388577507585, -0.03289180130231932, -0.032711155484437704, -0.032076783427077975, -0.031165766297465713, -0.028129552506168568, -0.02686967176644436, -0.025887391007694882, -0.025698362525092767, -0.024880809327579974, -0.024536889311244307, -0.023401317798101468, -0.022427646897401732, -0.021795541898906805, -0.01957696594515852, -0.01942105728798754, -0.0187653124401885, -0.018532459408548713, -0.017910210981486454, -0.014107741523398732, -0.013921051721290994, -0.013675330867087089, -0.011847985810513465, -0.010527198868418058, -0.009229392701099688, -0.008932129797219527, -0.007452914745133853, -0.0064338161231278935, -0.0038149466586508214, -0.002288334273327917, 0.002288334273327917, 0.0038149466586508214, 0.0064338161231278935, 0.007452914745133853, 0.008932129797219527, 0.009229392701099688, 0.010527198868418058, 0.011847985810513465, 0.013675330867087089, 0.013921051721290994, 0.014107741523398732, 0.017910210981486454, 0.018532459408548713, 0.0187653124401885, 0.01942105728798754, 0.01957696594515852, 0.021795541898906805, 0.022427646897401732, 0.023401317798101468, 0.024536889311244307, 0.024880809327579974, 0.025698362525092767, 0.025887391007694882, 0.02686967176644436, 0.028129552506168568, 0.031165766297465713, 0.032076783427077975, 0.032711155484437704, 0.03289180130231932, 0.036868388577507585, 0.036953786686562164, 0.038460369697261035, 0.03857708177549634, 0.041400329762652545, 0.04157649958180026, 0.04242183503907916, 0.04314733306814489, 0.04408802715571931, 0.04572491962828099, 0.04757497351690919, 0.047737530079893, 0.04792912666602962, 0.050224090011424076, 0.05103501348314575, 0.05251268305009913, 0.05454230595554818, 0.054925339757076995, 0.05704199366386662, 0.058040647831821376, 0.059037407838776625, 0.05907636522554885, 0.061742075751197965, 0.06195115343865365, 0.0629877321540442, 0.06309992497493132, 0.06332348524488077, 0.06377157172030697, 0.06641613561687439, 0.06811955298402693, 0.07127017344510522, 0.07304257991981707, 0.07434668265847695, 0.07631926080374948, 0.07649922529253576, 0.07696972582370185, 0.07719922449828796, 0.08088254740602863, 0.0814370240200953, 0.08254103942486529, 0.08369175384864268, 0.0848643069917153, 0.08560058212028274, 0.08982888089999409, 0.09072230658505422, 0.1016299041305034, 0.10243013596870491, 0.10273677306152332, 0.10452146091295247, 0.10484253542852598, 0.1096024368229068, 0.11275864429228995, 0.1142146560645211, 0.11489994619380098, 0.11740124763011342, 0.11814243739577031, 0.12222127569910947, 0.1283980995517496, 0.1287177577983344, 0.13557559051808213, 0.13664899103441613, 0.13913032628124702, 0.13956442742089903, 0.14994627459467522, 0.15206078652717814, 0.15590748209544605, 0.15904016844174224, 0.1623599728462332, 0.16362160546176235, 0.16484237519892356, 0.1789064693713693, 0.17923115749157517, 0.17968766648674928, 0.1820853136329261, 0.1841133931761701, 0.18538744733318926, 0.1870229232598624, 0.18745790819111308, 0.18858808907601282, 0.18877167811288575, 0.18936186444411152, 0.19026645430265854, 0.1951116558329767, 0.19836536657715442, 0.20221952495505774, 0.21129352229139492, 0.2144776693231931, 0.2180830858819882, 0.21943147649975464, 0.21979896660278606, 0.22217726615442768, 0.22510336644699075, 0.22589124118034648, 0.227919961360513, 0.23682873304115304, 0.24268662934988522, 0.2437097162296196, 0.24445116967069103, 0.2462235520321357, 0.24680591904880608, 0.24738671192335804, 0.2473955113981902, 0.24804499448879816, 0.249304988059164, 0.25006400239451454, 0.2502409971161638, 0.25095288130508125, 0.25327387127471757, 0.2539875720013527, 0.2545634965627493, 0.2566378578858469, 0.25687665053445413, 0.26227462824205905, 0.26648085291089235, 0.2666338448161429, 0.2682220737759482, 0.27046271907630254, 0.27157155434933256, 0.2821746088349758, 0.287284893964309, 0.29054742210792145, 0.29378225713841855, 0.2986838150763796, 0.3002462171517351, 0.3011905507168768, 0.3051051133144324, 0.3144195310139996, 0.3147664755809411, 0.316099082953608, 0.31914652786624165, 0.32190580559917364, 0.3312891283175204, 0.3326710328283608, 0.334418100324323, 0.34083186767529966, 0.34195360301042504, 0.3474814300401367, 0.3497355715237155, 0.35140758567474206, 0.35529219471809353, 0.356170205829102, 0.3566350104102197, 0.3593761709273384, 0.3628110582028559, 0.3677206458786336, 0.3718930524841081, 0.38293496146593364, 0.385672843616656, 0.3900334992727874, 0.3911219636767349, 0.39247389283820444, 0.399462268097455, 0.4101856911500031, 0.41290729195070763, 0.4195142964038215, 0.42163397569355854, 0.4272516540509306, 0.4439448902711589, 0.45057772972202004, 0.45263914484372436, 0.4605509881932589, 0.4692951646423313, 0.482383666378441, 0.49268817494548844, 0.49442768338169674, 0.4958464689043356, 0.5090480209069603, 0.530279185725927, 0.5394150094527203, 0.5402400539497964, 0.5583941274934692, 0.5710605532029679, 0.5878815952226052, 0.6086470916561867, 0.6104798348607998, 0.6195365293334537, 0.61959992475183, 0.6224799080556842, 0.641959451536511, 0.6432475254076767, 0.6463707803992377, 0.6503823787613954, 0.6530169121041588, 0.7147206698227438, 0.7220759849351598, 0.7245628823632008, 0.7429360761552188, 0.7466190036483783, 0.7513773746193134, 0.7611243616756599, 0.7698682492484907, 0.7789869995919191, 0.7832133998727533, 0.789848836023374, 0.7911435444757444, 0.7945562020195387, 0.8114562315941917, 0.8470913183167449, 0.8685338241181195, 0.8799079840841728, 0.9186826538783699, 0.9530097120055788, 0.9602591534601709, 0.966133947329489, 0.9730862995530939, 0.9752993437371588, 0.9763547740527354, 0.9872899029429585, 0.9878571202804521, 1.001945424334049, 1.0492664761534742, 1.0614576001728762, 1.1453288071774534, 1.2323521886205333, 1.241006972621295, 1.2500328261520415, 1.2679618134867274, 1.2800930763708003, 1.311916320417568, 1.3367030086269225, 1.3455103627286393, 1.3516157478209108, 1.3516627302825455, 1.3553937891765324, 1.3750409012538698, 1.390225255975148, 1.402678182817956, 1.4065991535084261, 1.407036582240258, 1.4077994769541982, 1.409693840427691, 1.4116054997924663, 1.4127371864873866, 1.4131447276760338, 1.4167679469522618, 1.4308987958691073, 1.4545450574386856, 1.456948016841024, 1.4591668645227942, 1.4603121600042968, 1.4695421365229804, 1.4760043892767285, 1.4779463752367874, 1.5084228002475104, 1.522031913318013, 1.5385122707768144, 1.5400389055534853, 1.5563052594896811, 1.601860924627827, 1.605437943963413, 1.610266090180204, 1.6148047455413437, 1.621230732248684, 1.6260240501812053, 1.6795464802035045, 1.7001150585041527, 1.7043006107763095, 1.7280190192015854, 1.7602964175215694, 3.4295509749160944], "xaxis": "x", "yaxis": "y"}], {"barmode": "relative", "legend": {"tracegroupgap": 0}, "margin": {"t": 60}, "template": {"data": {"bar": [{"error_x": {"color": "rgb(36,36,36)"}, "error_y": {"color": "rgb(36,36,36)"}, "marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "baxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "rgb(231,231,240)"}, "line": {"color": "white"}}, "header": {"fill": {"color": "rgb(183,183,191)"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "rgb(67,103,167)"}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "colorscale": {"sequential": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "sequentialminus": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]]}, "colorway": ["rgb(76,114,176)", "rgb(221,132,82)", "rgb(85,168,104)", "rgb(196,78,82)", "rgb(129,114,179)", "rgb(147,120,96)", "rgb(218,139,195)", "rgb(140,140,140)", "rgb(204,185,116)", "rgb(100,181,205)"], "font": {"color": "rgb(36,36,36)"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "rgb(234,234,242)", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "paper_bgcolor": "white", "plot_bgcolor": "rgb(234,234,242)", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "radialaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"fillcolor": "rgb(67,103,167)", "line": {"width": 0}, "opacity": 0.5}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "caxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}}}, "xaxis": {"anchor": "y", "domain": [0.0, 1.0], "title": {"text": "energy"}}, "yaxis": {"anchor": "x", "domain": [0.0, 1.0], "title": {"text": "count"}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('da5166ce-cff5-47c7-b6eb-054b9beac6a9'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); o07719922449828796, -0.07696972582370185, -0.07649922529253576, -0.07631926080374948, -0.07434668265847695, -0.07304257991981707, -0.07127017344510522, -0.06811955298402693, -0.06641613561687439, -0.06377157172030697, -0.06332348524488077, -0.06309992497493132, -0.0629877321540442, -0.06195115343865365, -0.061742075751197965, -0.05907636522554885, -0.059037407838776625, -0.058040647831821376, -0.05704199366386662, -0.054925339757076995, -0.05454230595554818, -0.05251268305009913, -0.05103501348314575, -0.050224090011424076, -0.04792912666602962, -0.047737530079893, -0.04757497351690919, -0.04572491962828099, -0.04408802715571931, -0.04314733306814489, -0.04242183503907916, -0.04157649958180026, -0.041400329762652545, -0.03857708177549634, -0.038460369697261035, -0.036953786686562164, -0.036868388577507585, -0.03289180130231932, -0.032711155484437704, -0.032076783427077975, -0.031165766297465713, -0.028129552506168568, -0.02686967176644436, -0.025887391007694882, -0.025698362525092767, -0.024880809327579974, -0.024536889311244307, -0.023401317798101468, -0.022427646897401732, -0.021795541898906805, -0.01957696594515852, -0.01942105728798754, -0.0187653124401885, -0.018532459408548713, -0.017910210981486454, -0.014107741523398732, -0.013921051721290994, -0.013675330867087089, -0.011847985810513465, -0.010527198868418058, -0.009229392701099688, -0.008932129797219527, -0.007452914745133853, -0.0064338161231278935, -0.0038149466586508214, -0.002288334273327917, 0.002288334273327917, 0.0038149466586508214, 0.0064338161231278935, 0.007452914745133853, 0.008932129797219527, 0.009229392701099688, 0.010527198868418058, 0.011847985810513465, 0.013675330867087089, 0.013921051721290994, 0.014107741523398732, 0.017910210981486454, 0.018532459408548713, 0.0187653124401885, 0.01942105728798754, 0.01957696594515852, 0.021795541898906805, 0.022427646897401732, 0.023401317798101468, 0.024536889311244307, 0.024880809327579974, 0.025698362525092767, 0.025887391007694882, 0.02686967176644436, 0.028129552506168568, 0.031165766297465713, 0.032076783427077975, 0.032711155484437704, 0.03289180130231932, 0.036868388577507585, 0.036953786686562164, 0.038460369697261035, 0.03857708177549634, 0.041400329762652545, 0.04157649958180026, 0.04242183503907916, 0.04314733306814489, 0.04408802715571931, 0.04572491962828099, 0.04757497351690919, 0.047737530079893, 0.04792912666602962, 0.050224090011424076, 0.05103501348314575, 0.05251268305009913, 0.05454230595554818, 0.054925339757076995, 0.05704199366386662, 0.058040647831821376, 0.059037407838776625, 0.05907636522554885, 0.061742075751197965, 0.06195115343865365, 0.0629877321540442, 0.06309992497493132, 0.06332348524488077, 0.06377157172030697, 0.06641613561687439, 0.06811955298402693, 0.07127017344510522, 0.07304257991981707, 0.07434668265847695, 0.07631926080374948, 0.07649922529253576, 0.07696972582370185, 0.07719922449828796, 0.08088254740602863, 0.0814370240200953, 0.08254103942486529, 0.08369175384864268, 0.0848643069917153, 0.08560058212028274, 0.08982888089999409, 0.09072230658505422, 0.1016299041305034, 0.10243013596870491, 0.10273677306152332, 0.10452146091295247, 0.10484253542852598, 0.1096024368229068, 0.11275864429228995, 0.1142146560645211, 0.11489994619380098, 0.11740124763011342, 0.11814243739577031, 0.12222127569910947, 0.1283980995517496, 0.1287177577983344, 0.13557559051808213, 0.13664899103441613, 0.13913032628124702, 0.13956442742089903, 0.14994627459467522, 0.15206078652717814, 0.15590748209544605, 0.15904016844174224, 0.1623599728462332, 0.16362160546176235, 0.16484237519892356, 0.1789064693713693, 0.17923115749157517, 0.17968766648674928, 0.1820853136329261, 0.1841133931761701, 0.18538744733318926, 0.1870229232598624, 0.18745790819111308, 0.18858808907601282, 0.18877167811288575, 0.18936186444411152, 0.19026645430265854, 0.1951116558329767, 0.19836536657715442, 0.20221952495505774, 0.21129352229139492, 0.2144776693231931, 0.2180830858819882, 0.21943147649975464, 0.21979896660278606, 0.22217726615442768, 0.22510336644699075, 0.22589124118034648, 0.227919961360513, 0.23682873304115304, 0.24268662934988522, 0.2437097162296196, 0.24445116967069103, 0.2462235520321357, 0.24680591904880608, 0.24738671192335804, 0.2473955113981902, 0.24804499448879816, 0.249304988059164, 0.25006400239451454, 0.2502409971161638, 0.25095288130508125, 0.25327387127471757, 0.2539875720013527, 0.2545634965627493, 0.2566378578858469, 0.25687665053445413, 0.26227462824205905, 0.26648085291089235, 0.2666338448161429, 0.2682220737759482, 0.27046271907630254, 0.27157155434933256, 0.2821746088349758, 0.287284893964309, 0.29054742210792145, 0.29378225713841855, 0.2986838150763796, 0.3002462171517351, 0.3011905507168768, 0.3051051133144324, 0.3144195310139996, 0.3147664755809411, 0.316099082953608, 0.31914652786624165, 0.32190580559917364, 0.3312891283175204, 0.3326710328283608, 0.334418100324323, 0.34083186767529966, 0.34195360301042504, 0.3474814300401367, 0.3497355715237155, 0.35140758567474206, 0.35529219471809353, 0.356170205829102, 0.3566350104102197, 0.3593761709273384, 0.3628110582028559, 0.3677206458786336, 0.3718930524841081, 0.38293496146593364, 0.385672843616656, 0.3900334992727874, 0.3911219636767349, 0.39247389283820444, 0.399462268097455, 0.4101856911500031, 0.41290729195070763, 0.4195142964038215, 0.42163397569355854, 0.4272516540509306, 0.4439448902711589, 0.45057772972202004, 0.45263914484372436, 0.4605509881932589, 0.4692951646423313, 0.482383666378441, 0.49268817494548844, 0.49442768338169674, 0.4958464689043356, 0.5090480209069603, 0.530279185725927, 0.5394150094527203, 0.5402400539497964, 0.5583941274934692, 0.5710605532029679, 0.5878815952226052, 0.6086470916561867, 0.6104798348607998, 0.6195365293334537, 0.61959992475183, 0.6224799080556842, 0.641959451536511, 0.6432475254076767, 0.6463707803992377, 0.6503823787613954, 0.6530169121041588, 0.7147206698227438, 0.7220759849351598, 0.7245628823632008, 0.7429360761552188, 0.7466190036483783, 0.7513773746193134, 0.7611243616756599, 0.7698682492484907, 0.7789869995919191, 0.7832133998727533, 0.789848836023374, 0.7911435444757444, 0.7945562020195387, 0.8114562315941917, 0.8470913183167449, 0.8685338241181195, 0.8799079840841728, 0.9186826538783699, 0.9530097120055788, 0.9602591534601709, 0.966133947329489, 0.9730862995530939, 0.9752993437371588, 0.9763547740527354, 0.9872899029429585, 0.9878571202804521, 1.001945424334049, 1.0492664761534742, 1.0614576001728762, 1.1453288071774534, 1.2323521886205333, 1.241006972621295, 1.2500328261520415, 1.2679618134867274, 1.2800930763708003, 1.311916320417568, 1.3367030086269225, 1.3455103627286393, 1.3516157478209108, 1.3516627302825455, 1.3553937891765324, 1.3750409012538698, 1.390225255975148, 1.402678182817956, 1.4065991535084261, 1.407036582240258, 1.4077994769541982, 1.409693840427691, 1.4116054997924663, 1.4127371864873866, 1.4131447276760338, 1.4167679469522618, 1.4308987958691073, 1.4545450574386856, 1.456948016841024, 1.4591668645227942, 1.4603121600042968, 1.4695421365229804, 1.4760043892767285, 1.4779463752367874, 1.5084228002475104, 1.522031913318013, 1.5385122707768144, 1.5400389055534853, 1.5563052594896811, 1.601860924627827, 1.605437943963413, 1.610266090180204, 1.6148047455413437, 1.621230732248684, 1.6260240501812053, 1.6795464802035045, 1.7001150585041527, 1.7043006107763095, 1.7280190192015854, 1.7602964175215694, 3.4295509749160944], "xaxis": "x", "yaxis": "y"}], {"barmode": "relative", "legend": {"tracegroupgap": 0}, "margin": {"t": 60}, "template": {"data": {"bar": [{"error_x": {"color": "rgb(36,36,36)"}, "error_y": {"color": "rgb(36,36,36)"}, "marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "rgb(234,234,242)", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "baxis": {"endlinecolor": "rgb(36,36,36)", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "rgb(36,36,36)"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}, "colorscale": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "rgb(231,231,240)"}, "line": {"color": "white"}}, "header": {"fill": {"color": "rgb(183,183,191)"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "rgb(67,103,167)"}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "tickcolor": "rgb(36,36,36)", "ticklen": 8, "ticks": "outside", "tickwidth": 2}}, "colorscale": {"sequential": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]], "sequentialminus": [[0.0, "rgb(2,4,25)"], [0.06274509803921569, "rgb(24,15,41)"], [0.12549019607843137, "rgb(47,23,57)"], [0.18823529411764706, "rgb(71,28,72)"], [0.25098039215686274, "rgb(97,30,82)"], [0.3137254901960784, "rgb(123,30,89)"], [0.3764705882352941, "rgb(150,27,91)"], [0.4392156862745098, "rgb(177,22,88)"], [0.5019607843137255, "rgb(203,26,79)"], [0.5647058823529412, "rgb(223,47,67)"], [0.6274509803921569, "rgb(236,76,61)"], [0.6901960784313725, "rgb(242,107,73)"], [0.7529411764705882, "rgb(244,135,95)"], [0.8156862745098039, "rgb(245,162,122)"], [0.8784313725490196, "rgb(246,188,153)"], [0.9411764705882353, "rgb(247,212,187)"], [1.0, "rgb(250,234,220)"]]}, "colorway": ["rgb(76,114,176)", "rgb(221,132,82)", "rgb(85,168,104)", "rgb(196,78,82)", "rgb(129,114,179)", "rgb(147,120,96)", "rgb(218,139,195)", "rgb(140,140,140)", "rgb(204,185,116)", "rgb(100,181,205)"], "font": {"color": "rgb(36,36,36)"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "rgb(234,234,242)", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "paper_bgcolor": "white", "plot_bgcolor": "rgb(234,234,242)", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "radialaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "rgb(234,234,242)", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "showgrid": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"fillcolor": "rgb(67,103,167)", "line": {"width": 0}, "opacity": 0.5}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}, "bgcolor": "rgb(234,234,242)", "caxis": {"gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": ""}}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "showgrid": true, "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white"}}}, "xaxis": {"anchor": "y", "domain": [0.0, 1.0], "title": {"text": "energy"}}, "yaxis": {"anchor": "x", "domain": [0.0, 1.0], "title": {"text": "count"}}}, {"responsive": true} ).then(function(){ var gd = document.getElementById('da5166ce-cff5-47c7-b6eb-054b9beac6a9'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); (eV)"}}}, "showlegend": true, "template": {"data": {"bar": [{"error_x": {"color": "#2a3f5f"}, "error_y": {"color": "#2a3f5f"}, "marker": {"line": {"color": "#E5ECF6", "width": 0.5}}, "type": "bar"}], "barpolar": [{"marker": {"line": {"color": "#E5ECF6", "width": 0.5}}, "type": "barpolar"}], "carpet": [{"aaxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "baxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "choropleth"}], "contour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "contour"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "contourcarpet"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmap"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmapgl"}], "histogram": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "histogram"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}, "width": 800}, {"responsive": true} ).then(function(){ var gd = document.getElementById('fcea7870-88b8-4863-a071-862261aa5876'); var x = new MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); d" markdown="1">

4.2 Brute force (simple) approach

Enumerating reactions by brute force may seem like a less advanced approach, but it offers the added benefit that we can identify reactions involving:

1) metastable products 2) products which are not stable with respect to each other

This approach has been implemented with the BasicEnumerator class in the reaction-network package. Let's import the class:

From the chemical potential diagram, we can easily see the relative stabilities of each phase and get a visual picture of where the critical chemical potentials are for each phase.

3. Predicting interface reactions between solids

3.1 A simple model of solid-state synthesis

In solid-state synthesis, precursor compounds are typically milled into powders of small solid crystallites. These powders are intimately mixed, typically pressed into a pellet, and then heated in a furnace. Historically, solid-state synthesis involves high temperatures (i.e. 1200 ºC) and long heating times (24-72 hrs). However, many reactions can proceed significantly faster (on the order of a few minutes) and at temperatures as low as 400-500ºC.

A simple cartoon of solid-state synthesis can be seen below:

At the interfaces where the powder crystallites touch, if the free energy of the system can be decreased by forming a new phase or set of phases, the new phase(s) will nucleate and grow.

We can predict the possible reactions between the interface of any two phases by drawing a line (see the red dashed line below) connecting the two phases on the phase diagram. A reaction is given by each point where the connecting line intersects the phase diagram points/lines.

In the hypothetical system below, there are two predicted reactions given by the yellow star and green circle -- in this case the reaction to form \(\gamma\) (green circle) is the most thermodynamically favorable because it involves the greatest decrease in free energy. However, the reaction given by the yellow star is still favorable and may occur at higher temperatures / later times.

3.2 Using pymatgen's interface reaction calculator

The phase diagram slice approach depicted above has been implemented into pymatgen within the InterfacialReactivity class and is available as an app on the MP website.

Let's see if we can apply it within the Y-Mn-O chemical system to better understand the synthesis of our YMnO\(_3\) target. We will start with plotting the suggested reactions between Y\(_2\)O\(_3\) and Mn\(_2\)O\(_3\):

from pymatgen.analysis.interface_reactions import InterfacialReactivity

ir = InterfacialReactivity(Composition("Y2O3"), Composition("Mn2O3"), pd_gibbs)
ir.plot().show()

In the plot, we see a new convex hull slice, where each point represents a reaction as a function of the (normalized) ratio of mixing between the two reactants. To see which reactions the plot above corresponds to, we need to extract data about the "kinks" within the diagram. Let's use the code below to help us plot information about the reactions shown in the plot above:

pandas.set_option("max_colwidth", 80)  # make columns wider to see full reaction

def get_df_from_interface_rxns(ir):
    critical_rxns = [
        {"Atomic fraction":round(ratio, 3),
         "Reaction": rxn,
            "E$_{rxn}$ (kJ/mol)": round(rxn_energy, 1),
            "E$_{rxn}$ (eV/atom)":round(reactivity, 3)
        }
        for _, ratio, reactivity, rxn, rxn_energy in ir.get_kinks()
    ]

    ir_df = pandas.DataFrame(critical_rxns)
    return ir_df

Now we can construct and display the dataframe:

ir_df = get_df_from_interface_rxns(ir)
ir_df
Atomic fraction Reaction E$_{rxn}$ (kJ/mol)t; Y2O3 + 1.5 Mn E$_{rxn}$ (eV/atom)
0 0.000 Y + 1.5 MnO2 -> Y2O3 + 0.125 YMn12 Mn2O3 -> Mn2O3 0.054636 0.000Y
1 0.1674 O2 + 0.09091 YMn12 -> MnO + 0.09091 YMnO3 0.8333 Mn2O3 + 0.1667 Y2O3 -> 0.3333 YMn2O5 + 0.3333 Mn3O4
-19.2747 -0.040
2 0.5000.1481 YMn12 -> 1.778 MnO + 0.07407 Y2O3 0.5 Mn2O3 + 0.5 Y2O3 -> YMnO38 -34.4648 -0.071
3.. 1.000td> Y2O3 -> Y2O3 0.0 0.000td>

In the table, we see the reactions as a function of the normalized mixing ratio, along with their energy in kJ per mole of reaction, as well as eV per (reactant) atom.

It seems that YMnO\(_3\) is indeed the major predicted reaction product when Y\(_2\)O\(_3\) and and Mn\(_2\)O\(_3\) are combined in equal molar amounts. However, the reaction forming YMn\(_2\)O\(_5\) and Mn\(_3\)O\(_4\) could still occur to some degree depending on the process by which the synthesis procedure occurs (i.e., initial grain sizes, heating rate, maximum temperature reached, etc.) This is because there is still a thermodynamic driving force for subsequent interfacial reaction between YMnO\(_3\) and any remaining precursor Mn\(_2\)O\(_3\). This can be seen by plotting the same interface reaction plot between YMnO\(_3\) and Mn\(_2\)O\(_3\):

ir = InterfacialReactivity(Composition("YMnO3"), Composition("Mn2O3"), pd_gibbs)
ir.plot().show()
get_df_from_interface_rxns(ir)
="output_wrapper" markdown="1"> Atomic fractionown="1"> Reactiont_area" markdown="1"> E$_{rxn}$ (kJ/mol)kdown="1"> E$_{rxn}$ (eV/atom)ered_html output_subarea "> class="output_html rendered_html output_subarea "> iv>
0 MutationObserver(function (mutations, observer) {{ var display = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); 0.000play = window.getComputedStyle(gd).display; if (!display || display === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); Mn2O3 -> Mn2O3play === 'none') {{ console.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); 0.0onsole.log([gd, 'removed!']); Plotly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); 0.000tly.purge(gd); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); observer.disconnect(); }} }}); // Listen for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; });
1sten for the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); 0.333the removal of the full notebook cells var notebookContainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); 0.6667 Mn2O3 + 0.3333 YMnO3 -> 0.3333 YMn2O5 + 0.3333 Mn3O4er = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); -7.7ntainer = gd.closest('#notebook-container'); if (notebookContainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); -0.016ainer) {{ x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); x.observe(notebookContainer, {childList: true}); }} // Listen for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; });
2for the clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); 1.000he clearing of the current output cell var outputEl = gd.closest('.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); YMnO3 -> YMnO3.output'); if (outputEl) {{ x.observe(outputEl, {childList: true}); }} }) }; }); -0.0{{ x.observe(outputEl, {childList: true}); }} }) }; }); -0.000tputEl, {childList: true}); }} }) }; }); }) }; }); }) }; });

It turns out that this is true again for any Mn\(_3\)O\(_4\) produced, which may react with remaining Y\(_2\)O\(_3\) precursor to make YMnO\(_3\) and MnO. The same goes again for MnO and Mn\(_2\)O\(_3\).

Just in this simple ternary system, we can already see the complex (and sometimes unpredictable) behavior associated with reaction pathways within solid-state synthesiss. To organize this progression of reactions, we choose to create a graph network representation of the possible reaction pathway, such as the one illustrated below:

Before we can explore this reaction network structure further, however, we need to first discuss how to acquire all possible reactions which may occur within a chemical system.

4. Enumerating all reactions within a chemical system

As we saw above, the possibility of subsequent reactions makes a model for solid-state synthesis quite complex. If we wish to capture this behavior, we first need to be able to enumerate through all possible reactions within a chemical system. These reactions will then be used to construct the reaction network.

There are two methods for predicting reactions in a high-throughput manner:

1) interface reactions predicted by iterating through all possible slices of the full phase diagram (as above) 2) brute force trial & error balancing between any set of reactants and any set of products

Both of these methods are implemented in the reaction-network package, which builds reaction network analysis on top of pymatgen. Please see the Github repository below if you are interested in exploring more:

https://github.com/GENESIS-EFRC/reaction-network

4.1 Minimize Gibbs (interface reaction) approach

First, we need to come up with a candidate set of entries. Since we are using the reaction-network package, we are going to initialize the entries using that package's convenience methods:

from rxn_network.entries.entry_set import GibbsEntrySet

gibbs_entry_set = GibbsEntrySet.from_entries(entries, temperature=1000)
stable_entries = gibbs_entry_set.filter_by_stability(e_above_hull=0)

Now, we can initialize the enumerator object:

from rxn_network.enumerators.minimize import MinimizeGibbsEnumerator

mge = MinimizeGibbsEnumerator()

To enumerate reactions, we call enumerate() with a list of provided entries. This will return a list of reactions which are computed using the interface reaction method from above:

rxns = mge.enumerate(stable_entries)

As before, let's look at these in a DataFrame by using a helper method:

def get_df_from_rxns(rxns):
    energies = [r.energy_per_atom for r in rxns]
    uncertainties = [r.energy_uncertainty_per_atom.s for r in rxns]
    chemsyses = [r.chemical_system for r in rxns]

    data = {"reaction": rxns, "energy": energies, "dE": uncertainties, "chemsys": chemsyses}

    return pandas.DataFrame(data).sort_values("energy").reset_index(drop=True)
df = get_df_from_rxns(rxns)
df
reaction> energy> dE9231 Y2O3 + 0.07692 YMn12 -> Y + 0.9231 YMnO3 chemsys7
08 2 Y + 1.5 O2 -> Y2O3O3 -3.429551/td> 0.061644 O-YO-Y
1> MnO2 + 1.333 Y -> Mn + 0.6667 Y2O3> -1.760296v> 0.055203div> Mn-O-Y v>
2v> 12 MnO2 + 17 Y -> YMn12 + 8 Y2O3zing text_cell rendered" markdown="1"> -1.728019"cell border-box-sizing text_cell rendered" markdown="1"> 0.054636"cell border-box-sizing text_cell rendered" markdown="1"> Mn-O-Y border-box-sizing text_cell rendered" markdown="1"> class="inner_cell" markdown="1">
3possible to specify precursors: YMn12 + 7 O2 -> YMnO3 + 11 MnOr-box-sizing code_cell rendered" markdown="1"> -1.704301class="cell border-box-sizing code_cell rendered" markdown="1"> 0.054747"cell border-box-sizing code_cell rendered" markdown="1"> Mn-O-Y border-box-sizing code_cell rendered" markdown="1"> class="input">
4 0.08333 YMn12 + 0.5625 O2 -> MnO + 0.04167 Y2O3 rendered" markdown="1"> -1.700115 class="cell border-box-sizing code_cell rendered" markdown="1"> 0.057648="cell border-box-sizing code_cell rendered" markdown="1"> Mn-O-Ys="cell border-box-sizing code_cell rendered" markdown="1"> class="cell border-box-sizing code_cell rendered" markdown="1">
... ... ... class="output_wrapper" markdown="1"> ...class="output_wrapper" markdown="1"> ...output_wrapper" markdown="1"> class="output_wrapper" markdown="1">
56"output_area" markdown="1"> MnO + 0.5 Y2Mn2O7 -> YMnO3 + 0.5 Mn2O3="e863185d-ab6c-440d-b593-caea79ca8fec"> -0.05804185d-ab6c-440d-b593-caea79ca8fec"> 0.05395585d-ab6c-440d-b593-caea79ca8fec"> Mn-O-Y185d-ab6c-440d-b593-caea79ca8fec"> iv id="e863185d-ab6c-440d-b593-caea79ca8fec">
573185d-ab6c-440d-b593-caea79ca8fec"> 0.5 Mn2O3 + 0.25 O2 -> MnO2_view "> -0.051035javascript"> 0.065617e863185d-ab6c-440d-b593-caea79ca8fec'); Mn-Oipt type="application/vnd.jupyter.widget-view+json"> ipt type="application/vnd.jupyter.widget-view+json">
58div> 0.5 O2 + 2 YMnO3 -> Y2Mn2O7 markdown="1"> -0.031166="output_area" markdown="1"> 0.067726="output_area" markdown="1"> Mn-O-Yput_area" markdown="1"> class="output_area" markdown="1">
59output_html rendered_html output_subarea output_execute_result"> 12 Mn + Y -> YMn12rame tbody tr th:only-of-type { vertical-align: middle; } .dataframe tbody tr th { vertical-align: top; } .dataframe thead th { text-align: right; } -0.003815.dataframe tbody tr th:only-of-type { vertical-align: middle; } .dataframe tbody tr th { vertical-align: top; } .dataframe thead th { text-align: right; } 0.068154dy tr th:only-of-type { vertical-align: middle; } .dataframe tbody tr th { vertical-align: top; } .dataframe thead th { text-align: right; } Mn-Yal-align: middle; } .dataframe tbody tr th { vertical-align: top; } .dataframe thead th { text-align: right; } } .dataframe tbody tr th { vertical-align: top; } .dataframe thead th { text-align: right; }
60me tbody tr th { vertical-align: top; } .dataframe thead th { text-align: right; } 2 MnO2 + 2 YMnO3 -> Mn2O3 + Y2Mn2O7me thead th { text-align: right; } -0.002288me thead th { text-align: right; } 0.052478ead th { text-align: right; } Mn-O-Yhead th { text-align: right; } text-align: right; }

61 rows × 4 columns

We can plot a histogram of the reaction energies to get an idea of the thermodynamics of the system. Again, we see that Y\(_2\)O\(_3\) is quite stable (the reaction on the far left!). Most reactions, however, are in the -0.4 to 0.0 eV/atom range.

import plotly.express as px

px.histogram(data_frame=df, x="energy", nbins=20, template="seaborn")

Building a dataframe with the reactions:

df = get_df_from_rxns(rxns_basic)
df
body>
="text_cell_render border-box-sizing rendered_html" markdown="1"> reactionmerating open reactions Since solid-state synthesis often happens in the presence of some kind of gaseous or "open" environment, it is also possible to enumerate so-called open reactions where a particular entry is open. For this, we can use `BasicOpenEnumerator`, or `MinimizeGrandPotentialEnumerator`: energyte synthesis often happens in the presence of some kind of gaseous or "open" environment, it is also possible to enumerate so-called open reactions where a particular entry is open. For this, we can use `BasicOpenEnumerator`, or `MinimizeGrandPotentialEnumerator`: dEstate synthesis often happens in the presence of some kind of gaseous or "open" environment, it is also possible to enumerate so-called open reactions where a particular entry is open. For this, we can use `BasicOpenEnumerator`, or `MinimizeGrandPotentialEnumerator`: chemsysiv> v> div>
07 Y + 0.75 O2 -> 0.5 Y2O3ass="cell border-box-sizing code_cell rendered" markdown="1"> -3.429551v class="cell border-box-sizing code_cell rendered" markdown="1"> 0.061644v class="cell border-box-sizing code_cell rendered" markdown="1"> O-Yclass="cell border-box-sizing code_cell rendered" markdown="1"> v>
1"input"> 2 Y + 1.5 MnO2 -> Y2O3 + 1.5 Mnapper" markdown="1"> -1.760296> 0.055203s="output_wrapper" markdown="1"> Mn-O-Yss="output_wrapper" markdown="1"> v class="output_wrapper" markdown="1">
2"output" markdown="1"> 2.125 Y + 1.5 MnO2 -> Y2O3 + 0.125 YMn12"db034924-b2a3-4616-81f2-27644ed51140"> -1.728019area" markdown="1"> 0.0546364924-b2a3-4616-81f2-27644ed51140"> Mn-O-Y34924-b2a3-4616-81f2-27644ed51140"> div id="db034924-b2a3-4616-81f2-27644ed51140">
3b034924-b2a3-4616-81f2-27644ed51140"> 0.6364 O2 + 0.09091 YMn12 -> MnO + 0.09091 YMnO3ass="output_subarea output_widget_view "> -1.704301subarea output_widget_view "> 0.054747/javascript"> Mn-O-Y'#db034924-b2a3-4616-81f2-27644ed51140'); ript>
4: "98ffab98fd30402d90b794dab4ccbaa3", "version_major": 2, "version_minor": 0} O2 + 0.1481 YMn12 -> 1.778 MnO + 0.07407 Y2O3="cell border-box-sizing code_cell rendered" markdown="1"> -1.700115iv> 0.057648div> Mn-O-Y/div> iv>
...> ...class="cell border-box-sizing code_cell rendered" markdown="1"> ...lass="cell border-box-sizing code_cell rendered" markdown="1"> ...ell border-box-sizing code_cell rendered" markdown="1"> ...nput"> xhzdk:69
573 class="output_wrapper" markdown="1"> 1.778 MnO + 0.07407 Y2O3 -> O2 + 0.1481 YMn12ss="output" markdown="1"> 1.700115t_wrapper" markdown="1"> 0.057648_wrapper" markdown="1"> Mn-O-Yut" markdown="1"> v class="output_area" markdown="1">
574output_html rendered_html output_subarea output_execute_result"> MnO + 0.09091 YMnO3 -> 0.6364 O2 + 0.09091 YMn12xecute_result"> 1.704301d> 0.054747 .dataframe tbody tr th:only-of-type { vertical-align: middle; } .dataframe tbody tr th { vertical-align: top; } .dataframe thead th { text-align: right; } Mn-O-Ybody tr th:only-of-type { vertical-align: middle; } .dataframe tbody tr th { vertical-align: top; } .dataframe thead th { text-align: right; } vertical-align: middle; } .dataframe tbody tr th { vertical-align: top; } .dataframe thead th { text-align: right; }
575me tbody tr th { vertical-align: top; } .dataframe thead th { text-align: right; } Y2O3 + 0.125 YMn12 -> 2.125 Y + 1.5 MnO2top; } .dataframe thead th { text-align: right; } 1.728019lign: top; } .dataframe thead th { text-align: right; } 0.054636ame thead th { text-align: right; } Mn-O-Ythead th { text-align: right; } .dataframe thead th { text-align: right; }
576> Y2O3 + 1.5 Mn -> 2 Y + 1.5 MnO2> 1.760296class="dataframe"> 0.055203style="text-align: right;"> Mn-O-Yext-align: right;">
577rgy 0.5 Y2O3 -> Y + 0.75 O2/th> 3.429551/th> 0.061644d> O-Y

578 rows × 4 columns

And plotting the reaction energy distribution:

px.histogram(data_frame=df, x="energy", template="seaborn")

And we see that all enumerated reactions do indeed contain YMnO\(_3\) as a product:

get_df_from_rxns(rxns_ymno3)
reaction energy75 O2 -> 0.5 Y2O3 dE.573877 chemsys0
0 + 0.02703 MnO + 0.7568 O2 -> 0.4865 Y2O3 + 0.02703 YMnO3 0.6364 O2 + 0.09091 YMn12 -> MnO + 0.09091 YMnO3-Y -1.704301/td> 0.054747> Mn-O-Yr>
1 + 0.03846 Mn2O3 + 0.7692 O2 -> 0.03846 Y2Mn2O7 + 0.4615 Y2O3 2.409 O2 + 0.2727 YMn12 -> Mn3O4 + 0.2727 YMnO3n-Y -1.626024/td> 0.055648> Mn-O-Yr>
2 + O2 + 0.01961 YMn12 -> 0.1176 Y2Mn2O7 + 0.3922 Y2O3 1.773 O2 + 0.1818 YMn12 -> Mn2O3 + 0.1818 YMnO3n-Y -1.621231/td> 0.056117> Mn-O-Yr>
3 + O2 + 0.25 Mn -> 0.125 Y2Mn2O7 + 0.375 Y2O3 4.682 O2 + 0.4545 YMn12 -> Mn5O8 + 0.4545 YMnO3n-Y -1.556305/td> 0.056397> Mn-O-Yr>
4.. O2 + 0.08 YMn12 -> 0.88 MnO2 + 0.08 YMnO3d> -1.430899 0.057475
Mn-O-Yr>
...25 Y2Mn2O7 + 0.375 Y2O3 -> Y + O2 + 0.25 Mn ...94811 ...29422 ...Y ...
741176 Y2Mn2O7 + 0.3922 Y2O3 -> Y + O2 + 0.01961 YMn12 1.444 MnO + 0.5185 Y2O3 -> YMnO3 + 0.03704 YMn12Y 0.128718 0.057905> Mn-O-Yr>
7503846 Y2Mn2O7 + 0.4615 Y2O3 -> Y + 0.03846 Mn2O3 + 0.7692 O2 Y2O3 + 13 Mn -> YMnO3 + YMn12 0.250953 0.054716> Mn-O-Yr>
764865 Y2O3 + 0.02703 YMnO3 -> Y + 0.02703 MnO + 0.7568 O2 3 MnO + 2 Y2O3 -> Y + 3 YMnO3 0.355292 0.059457> Mn-O-Yr>
775 Y2O3 -> Y + 0.75 O2 0.9231 Y2O3 + 0.07692 YMn12 -> Y + 0.9231 YMnO3/td> 0.751377 0.059467
Mn-O-Yody> tbody>
78 × 4 columns

Y2O3 + Mn -> Y + YMnO3> 0.761124div> 0.060093div> Mn-O-Y/div> iv>

79 rows × 4 columns

It is also possible to specify precursors:

be_precursors = BasicEnumerator(precursors=["Y2O3","Mn2O3"])
rxns_precursors = be_precursors.enumerate(entries_030)
get_df_from_rxns(rxns_ymno3)
energy reaction energys dE
chemsysdy> body>
08.573877 0.6364 O2 + 0.09091 YMn12 -> MnO + 0.09091 YMnO3 -1.704301
0.054747 Mn-O-Yth>
16.376210 2.409 O2 + 0.2727 YMn12 -> Mn3O4 + 0.2727 YMnO3r> -1.626024
0.055648 Mn-O-Yth>
26.374144 1.773 O2 + 0.1818 YMn12 -> Mn2O3 + 0.1818 YMnO3r> -1.621231
0.056117 Mn-O-Yth>
34.854178 4.682 O2 + 0.4545 YMn12 -> Mn5O8 + 0.4545 YMnO3r> -1.556305
0.056397 Mn-O-Yth>
44.679241 O2 + 0.08 YMn12 -> 0.88 MnO2 + 0.08 YMnO3
-1.430899
0.057475 Mn-O-Yth>
...568917 ...61284 ...Y ...
...
74.550820 1.444 MnO + 0.5185 Y2O3 -> YMnO3 + 0.03704 YMn12> 0.128718> 0.057905 Mn-O-Yth>
75.474267 Y2O3 + 13 Mn -> YMnO3 + YMn12> 0.250953> 0.054716 Mn-O-Yth>
76.195813 3 MnO + 2 Y2O3 -> Y + 3 YMnO3> 0.355292> 0.059457 Mn-O-Yth>
77.803885 0.9231 Y2O3 + 0.07692 YMn12 -> Y + 0.9231 YMnO3 0.751377
0.059467 Mn-O-Yth>
78.444450 Y2O3 + Mn -> Y + YMnO3n-Y 0.761124> 0.060093 Mn-O-Yth>

79 rows × 4 columns

And it is even possible to specify both precursors and a target. In this case, we should only get one possible reaction:

be = BasicEnumerator(precursors=["Y2O3","Mn2O3"], target="YMnO3")
rxns_ymno3 = be.enumerate(entries_030)
get_df_from_rxns(rxns_ymno3)
iv> reactionv class="cell border-box-sizing text_cell rendered" markdown="1"> energyss="cell border-box-sizing text_cell rendered" markdown="1"> dEclass="cell border-box-sizing text_cell rendered" markdown="1"> chemsysborder-box-sizing text_cell rendered" markdown="1"> class="inner_cell" markdown="1"> iv class="text_cell_render border-box-sizing rendered_html" markdown="1">
0 have a way to enumerate all reactions within a chemical system, we'd like to be able to put them in a convenient data structure such that we can learn something about a system. One particular data structure that is helpful for predicting reaction pathways is a **weighted directed graph**. The weighted directed graph, or reaction network, connects all phases within the chemical system via the possible reactions between them. This corresponds to a structure like the following: - **Nodes**: Phase combinations - **Edges**: Reactions - **Edge weights/costs**: Reaction free energies (after monotonic transformation) The function that monotonically transforms reaction free energies to (positive) costs/weights is dubbed a cost function. For more information about this approach, please see the following publication: **Reference:** *McDermott, M. J., Dwaraknath, S. S., and Persson, K. A. (2021). A graph-based network for predicting chemical reaction pathways in solid-state materials synthesis. Nature Communications, 12(1). https://doi.org/10.1038/s41467-021-23339-x* Mn2O3 + Y2O3 -> 2 YMnO3ction network, connects all phases within the chemical system via the possible reactions between them. This corresponds to a structure like the following: - **Nodes**: Phase combinations - **Edges**: Reactions - **Edge weights/costs**: Reaction free energies (after monotonic transformation) The function that monotonically transforms reaction free energies to (positive) costs/weights is dubbed a cost function. For more information about this approach, please see the following publication: **Reference:** *McDermott, M. J., Dwaraknath, S. S., and Persson, K. A. (2021). A graph-based network for predicting chemical reaction pathways in solid-state materials synthesis. Nature Communications, 12(1). https://doi.org/10.1038/s41467-021-23339-x* -0.07127ted graph, or reaction network, connects all phases within the chemical system via the possible reactions between them. This corresponds to a structure like the following: - **Nodes**: Phase combinations - **Edges**: Reactions - **Edge weights/costs**: Reaction free energies (after monotonic transformation) The function that monotonically transforms reaction free energies to (positive) costs/weights is dubbed a cost function. For more information about this approach, please see the following publication: **Reference:** *McDermott, M. J., Dwaraknath, S. S., and Persson, K. A. (2021). A graph-based network for predicting chemical reaction pathways in solid-state materials synthesis. Nature Communications, 12(1). https://doi.org/10.1038/s41467-021-23339-x* 0.061237 combinations - **Edges**: Reactions - **Edge weights/costs**: Reaction free energies (after monotonic transformation) The function that monotonically transforms reaction free energies to (positive) costs/weights is dubbed a cost function. For more information about this approach, please see the following publication: **Reference:** *McDermott, M. J., Dwaraknath, S. S., and Persson, K. A. (2021). A graph-based network for predicting chemical reaction pathways in solid-state materials synthesis. Nature Communications, 12(1). https://doi.org/10.1038/s41467-021-23339-x* Mn-O-Yctions - **Edge weights/costs**: Reaction free energies (after monotonic transformation) The function that monotonically transforms reaction free energies to (positive) costs/weights is dubbed a cost function. For more information about this approach, please see the following publication: **Reference:** *McDermott, M. J., Dwaraknath, S. S., and Persson, K. A. (2021). A graph-based network for predicting chemical reaction pathways in solid-state materials synthesis. Nature Communications, 12(1). https://doi.org/10.1038/s41467-021-23339-x* Edge weights/costs**: Reaction free energies (after monotonic transformation) The function that monotonically transforms reaction free energies to (positive) costs/weights is dubbed a cost function. For more information about this approach, please see the following publication: **Reference:** *McDermott, M. J., Dwaraknath, S. S., and Persson, K. A. (2021). A graph-based network for predicting chemical reaction pathways in solid-state materials synthesis. Nature Communications, 12(1). https://doi.org/10.1038/s41467-021-23339-x* he function that monotonically transforms reaction free energies to (positive) costs/weights is dubbed a cost function. For more information about this approach, please see the following publication: **Reference:** *McDermott, M. J., Dwaraknath, S. S., and Persson, K. A. (2021). A graph-based network for predicting chemical reaction pathways in solid-state materials synthesis. Nature Communications, 12(1). https://doi.org/10.1038/s41467-021-23339-x*

4.4 BONUS: Enumerating open reactions

Since solid-state synthesis often happens in the presence of some kind of gaseous or "open" environment, it is also possible to enumerate so-called open reactions where a particular entry is open. For this, we can use BasicOpenEnumerator, or MinimizeGrandPotentialEnumerator:

from rxn_network.enumerators.basic import BasicOpenEnumerator
boe = BasicOpenEnumerator(["O2"])
open_rxns = boe.enumerate(entries_030)
get_df_from_rxns(open_rxns)
pe="application/vnd.jupyter.widget-view+json"> reaction105227eb40ee9bf1a3160679a3cc", "version_major": 2, "version_minor": 0} energy dEv> chemsys/div> v> /div>
0v class="cell border-box-sizing code_cell rendered" markdown="1"> Y + 0.75 O2 -> 0.5 Y2O3izing code_cell rendered" markdown="1"> -3.429551rder-box-sizing code_cell rendered" markdown="1"> 0.061644> O-Y hzdk:80
1v class="output_wrapper" markdown="1"> Y + 0.02703 MnO + 0.7568 O2 -> 0.4865 Y2O3 + 0.02703 YMnO3="1"> -3.349437wrapper" markdown="1"> 0.059158" markdown="1"> Mn-O-Yput_area" markdown="1"> class="output_area" markdown="1">
2> Y + 0.03846 Mn2O3 + 0.7692 O2 -> 0.03846 Y2Mn2O7 + 0.4615 Y2O3l vertex properties, 3 internal edge properties, at 0x7efc5c50c160> -3.154596v> 0.054649v> Mn-O-Y/div> v>
3v> Y + 0.04569 Mn3O4 + 0.7614 O2 -> 0.4315 Y2O3 + 0.1371 YMnO3rkdown="1"> -3.045732"cell border-box-sizing text_cell rendered" markdown="1"> 0.051417"cell border-box-sizing text_cell rendered" markdown="1"> Mn-O-Y border-box-sizing text_cell rendered" markdown="1"> class="inner_cell" markdown="1">
4pathfinding, we first need to set the precursors and target defining the particular synthesis procedure we are interested in. For now, let's look at the synthesis of YMnO$_3$ from the starting binary oxides, Y$_2$O$_3$ and Mn$_2$O$_3$. We first acquire the entries from the set of entries by providing the formula: Y + O2 + 0.02564 YMn12 -> 0.359 Y2O3 + 0.3077 YMnO3l rendered" markdown="1"> -3.007624class="cell border-box-sizing code_cell rendered" markdown="1"> 0.049065"cell border-box-sizing code_cell rendered" markdown="1"> Mn-O-Y border-box-sizing code_cell rendered" markdown="1"> class="input">
... ...v> ...> ...class="cell border-box-sizing text_cell rendered" markdown="1"> ...lass="cell border-box-sizing text_cell rendered" markdown="1"> class="cell border-box-sizing text_cell rendered" markdown="1">
1523xt_cell_render border-box-sizing rendered_html" markdown="1"> 0.359 Y2O3 + 0.3077 YMnO3 -> Y + O2 + 0.02564 YMn12/div> 3.007624v> 0.049065 class="cell border-box-sizing code_cell rendered" markdown="1"> Mn-O-Ys="cell border-box-sizing code_cell rendered" markdown="1"> class="cell border-box-sizing code_cell rendered" markdown="1">
1524 0.4315 Y2O3 + 0.1371 YMnO3 -> Y + 0.04569 Mn3O4 + 0.7614 O2l rendered" markdown="1"> 3.045732iv class="cell border-box-sizing text_cell rendered" markdown="1"> 0.051417v class="cell border-box-sizing text_cell rendered" markdown="1"> Mn-O-Yss="cell border-box-sizing text_cell rendered" markdown="1"> v>
1525ner_cell" markdown="1"> 0.03846 Y2Mn2O7 + 0.4615 Y2O3 -> Y + 0.03846 Mn2O3 + 0.7692 O2 We can also draw a cartoon illustration of what this reaction network looks like using the `plot_network()` function 3.154596 cartoon illustration of what this reaction network looks like using the `plot_network()` function 0.054649v> Mn-O-Yiv class="cell border-box-sizing code_cell rendered" markdown="1"> v>
1526put"> 0.4865 Y2O3 + 0.02703 YMnO3 -> Y + 0.02703 MnO + 0.7568 O2lass="output" markdown="1"> 3.349437v> 0.059158s="output_wrapper" markdown="1"> Mn-O-Yss="output_wrapper" markdown="1"> v class="output_wrapper" markdown="1">
1527tput" markdown="1"> 0.5 Y2O3 -> Y + 0.75 O21"> 3.429551_area" markdown="1"> 0.061644ut_png output_subarea "> O-Youtput_png output_subarea "> class="output_png output_subarea "> mg src="data:image/png;base64,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 " width=466 height=600 >

1528 rows × 4 columns

If these reactions involve an open entry that is also an element, then it is possible to recalculate the reaction energy in terms of grand potential. For this it helps to import ReactionSet for recalculating reaction energies all at once:

from rxn_network.reactions.reaction_set import ReactionSet
rxn_set = ReactionSet.from_rxns(open_rxns)
open_rxns_grand = rxn_set.get_rxns(open_elem=Element("O"), chempot=0.0)
get_df_from_rxns(open_rxns_grand)
0.3333 YMn12 -> 3.667 Mn + 2.333 YMnO3 (dG = -0.249 eV/atom) Total Cost: 0.467 1.026 Y2O3 + 1.308 Mn2O3 -> Y2Mn2O7 + 0.05128 YMn12 (dG = 0.142 eV/atom) Y2Mn2O7 + 0.07143 YMn12 -> 0.7857 MnO + 2.071 YMnO3 (dG = -0.246 eV/atom) Total Cost: 0.467 0.5 Y2O3 + Mn2O3 -> MnO + 0.5 Y2Mn2O7 (dG = 0.012 eV/atom) 2 MnO + Y2Mn2O7 -> Mn2O3 + 2 YMnO3 (dG = -0.058 eV/atom) Total Cost: 0.473 reaction 1.026 Y2O3 + 1.308 Mn2O3 -> Y2Mn2O7 + 0.05128 YMn12 (dG = 0.142 eV/atom) Y2Mn2O7 + 0.07143 YMn12 -> 0.7857 MnO + 2.071 YMnO3 (dG = -0.246 eV/atom) Total Cost: 0.467 0.5 Y2O3 + Mn2O3 -> MnO + 0.5 Y2Mn2O7 (dG = 0.012 eV/atom) 2 MnO + Y2Mn2O7 -> Mn2O3 + 2 YMnO3 (dG = -0.058 eV/atom) Total Cost: 0.473 energy308 Mn2O3 -> Y2Mn2O7 + 0.05128 YMn12 (dG = 0.142 eV/atom) Y2Mn2O7 + 0.07143 YMn12 -> 0.7857 MnO + 2.071 YMnO3 (dG = -0.246 eV/atom) Total Cost: 0.467 0.5 Y2O3 + Mn2O3 -> MnO + 0.5 Y2Mn2O7 (dG = 0.012 eV/atom) 2 MnO + Y2Mn2O7 -> Mn2O3 + 2 YMnO3 (dG = -0.058 eV/atom) Total Cost: 0.473 dE 1.308 Mn2O3 -> Y2Mn2O7 + 0.05128 YMn12 (dG = 0.142 eV/atom) Y2Mn2O7 + 0.07143 YMn12 -> 0.7857 MnO + 2.071 YMnO3 (dG = -0.246 eV/atom) Total Cost: 0.467 0.5 Y2O3 + Mn2O3 -> MnO + 0.5 Y2Mn2O7 (dG = 0.012 eV/atom) 2 MnO + Y2Mn2O7 -> Mn2O3 + 2 YMnO3 (dG = -0.058 eV/atom) Total Cost: 0.473 chemsys YMn12 -> 0.7857 MnO + 2.071 YMnO3 (dG = -0.246 eV/atom) Total Cost: 0.467 0.5 Y2O3 + Mn2O3 -> MnO + 0.5 Y2Mn2O7 (dG = 0.012 eV/atom) 2 MnO + Y2Mn2O7 -> Mn2O3 + 2 YMnO3 (dG = -0.058 eV/atom) Total Cost: 0.473 l Cost: 0.467 0.5 Y2O3 + Mn2O3 -> MnO + 0.5 Y2Mn2O7 (dG = 0.012 eV/atom) 2 MnO + Y2Mn2O7 -> Mn2O3 + 2 YMnO3 (dG = -0.058 eV/atom) Total Cost: 0.473 .5 Y2O3 + Mn2O3 -> MnO + 0.5 Y2Mn2O7 (dG = 0.012 eV/atom) 2 MnO + Y2Mn2O7 -> Mn2O3 + 2 YMnO3 (dG = -0.058 eV/atom) Total Cost: 0.473
0 0.473 Y + 0.75 O2 -> 0.5 Y2O3> -8.573877v> 0.154110v> Yv> v>
1v> Y + 0.02703 MnO + 0.7568 O2 -> 0.4865 Y2O3 + 0.02703 YMnO3arkdown="1"> -8.373593"cell border-box-sizing text_cell rendered" markdown="1"> 0.147896"cell border-box-sizing text_cell rendered" markdown="1"> Mn-Yll border-box-sizing text_cell rendered" markdown="1"> class="inner_cell" markdown="1">
2: Finding and balancing reaction pathways from a real experiment ### NOTE: this last section can take a few minutes to run! In 2019, Todd et al. reported the synthesis of YMnO3 through an "assisted metathesis" approach corresponding to the following reaction equation: $$ Mn_2O_3 + 2 YCl_3 + 3 Li_2CO_3 \rightarrow 2 YMnO_3 + 6 LiCl + 3 CO_2 $$ They also observed the following progression of phases, as determined via in situ X-ray diffraction on a synchrotron beamline: Y + 0.03846 Mn2O3 + 0.7692 O2 -> 0.03846 Y2Mn2O7 + 0.4615 Y2O3et al. reported the synthesis of YMnO3 through an "assisted metathesis" approach corresponding to the following reaction equation: $$ Mn_2O_3 + 2 YCl_3 + 3 Li_2CO_3 \rightarrow 2 YMnO_3 + 6 LiCl + 3 CO_2 $$ They also observed the following progression of phases, as determined via in situ X-ray diffraction on a synchrotron beamline: -7.999155 section can take a few minutes to run! In 2019, Todd et al. reported the synthesis of YMnO3 through an "assisted metathesis" approach corresponding to the following reaction equation: $$ Mn_2O_3 + 2 YCl_3 + 3 Li_2CO_3 \rightarrow 2 YMnO_3 + 6 LiCl + 3 CO_2 $$ They also observed the following progression of phases, as determined via in situ X-ray diffraction on a synchrotron beamline: 0.138574al. reported the synthesis of YMnO3 through an "assisted metathesis" approach corresponding to the following reaction equation: $$ Mn_2O_3 + 2 YCl_3 + 3 Li_2CO_3 \rightarrow 2 YMnO_3 + 6 LiCl + 3 CO_2 $$ They also observed the following progression of phases, as determined via in situ X-ray diffraction on a synchrotron beamline: Mn-Yet al. reported the synthesis of YMnO3 through an "assisted metathesis" approach corresponding to the following reaction equation: $$ Mn_2O_3 + 2 YCl_3 + 3 Li_2CO_3 \rightarrow 2 YMnO_3 + 6 LiCl + 3 CO_2 $$ They also observed the following progression of phases, as determined via in situ X-ray diffraction on a synchrotron beamline: Mn_2O_3 + 2 YCl_3 + 3 Li_2CO_3 \rightarrow 2 YMnO_3 + 6 LiCl + 3 CO_2 $$ They also observed the following progression of phases, as determined via in situ X-ray diffraction on a synchrotron beamline:
3observed the following progression of phases, as determined via in situ X-ray diffraction on a synchrotron beamline: Y + O2 + 0.01961 YMn12 -> 0.1176 Y2Mn2O7 + 0.3922 Y2O3ed via in situ X-ray diffraction on a synchrotron beamline: -7.748977> 0.129626 class="cell border-box-sizing text_cell rendered" markdown="1"> Mn-Yass="cell border-box-sizing text_cell rendered" markdown="1"> class="cell border-box-sizing text_cell rendered" markdown="1">
4"text_cell_render border-box-sizing rendered_html" markdown="1"> Y + O2 + 0.25 Mn -> 0.125 Y2Mn2O7 + 0.375 Y2O3odd, P. K., Smith, A. M., & Neilson, J. R. (2019). Yttrium manganese oxide phase stability and selectivity using lithium carbonate assisted metathesis reactions. Inorganic Chemistry, 58(22), 15166–15174. https://doi.org/10.1021/acs.inorgchem.9b02075* -7.694811dd, P. K., Smith, A. M., & Neilson, J. R. (2019). Yttrium manganese oxide phase stability and selectivity using lithium carbonate assisted metathesis reactions. Inorganic Chemistry, 58(22), 15166–15174. https://doi.org/10.1021/acs.inorgchem.9b02075* 0.129422dd, P. K., Smith, A. M., & Neilson, J. R. (2019). Yttrium manganese oxide phase stability and selectivity using lithium carbonate assisted metathesis reactions. Inorganic Chemistry, 58(22), 15166–15174. https://doi.org/10.1021/acs.inorgchem.9b02075* Mn-Y v>
...ell border-box-sizing text_cell rendered" markdown="1"> ...nner_cell" markdown="1"> ...ext_cell_render border-box-sizing rendered_html" markdown="1"> ... synthesis, we first acquire the entries for the entire 6-element chemical system from MP: ... v>
1523ll border-box-sizing code_cell rendered" markdown="1"> 0.125 Y2Mn2O7 + 0.375 Y2O3 -> Y + O2 + 0.25 Mns="cell border-box-sizing text_cell rendered" markdown="1"> 7.694811iv> 0.129422v> Mn-Y> v>
1524ass="cell border-box-sizing text_cell rendered" markdown="1"> 0.1176 Y2Mn2O7 + 0.3922 Y2O3 -> Y + O2 + 0.01961 YMn12> 7.748977cell" markdown="1"> 0.129626ell_render border-box-sizing rendered_html" markdown="1"> Mn-Ythis entries by a stability filter of 20 meV/atom at T = 650 ºC: v>
1525ass="cell border-box-sizing code_cell rendered" markdown="1"> 0.03846 Y2Mn2O7 + 0.4615 Y2O3 -> Y + 0.03846 Mn2O3 + 0.7692 O2lass="input"> 7.999155> 0.138574iv> Mn-Y iv>
1526lass="cell border-box-sizing text_cell rendered" markdown="1"> 0.4865 Y2O3 + 0.02703 YMnO3 -> Y + 0.02703 MnO + 0.7568 O2"1"> 8.373593order-box-sizing text_cell rendered" markdown="1"> 0.147896cell" markdown="1"> Mn-Yxt_cell_render border-box-sizing rendered_html" markdown="1"> hen designate the enumerator, cost function, and build the network. **NOTE: This may take a minute to build**!
1527
0.5 Y2O3 -> Y + 0.75 O2izing code_cell rendered" markdown="1"> 8.573877order-box-sizing code_cell rendered" markdown="1"> 0.154110> Y7 hzdk:87 /div>

1528 rows × 4 columns

Similarly, it is also possible to enumerate reactions straight from the grand potential phase diagram:

from rxn_network.enumerators.minimize import MinimizeGrandPotentialEnumerator

mgpe = MinimizeGrandPotentialEnumerator(open_elem=Element("O"), mu=0.0)
open_rxns2 = mgpe.enumerate(entries_030)
get_df_from_rxns(open_rxns2)
----------------------------- 2 YCl3 + 9 Mn2O3 -> Y2Mn2O7 + 2 Mn8Cl3O10 (dG = -0.015 eV/atom) 0.5 Y2Mn2O7 + 0.5 Mn2O3 -> MnO2 + YMnO3 (dG = 0.005 eV/atom) Total Cost: 0.516 2 YCl3 + 9 Mn2O3 -> Y2Mn2O7 + 2 Mn8Cl3O10 (dG = -0.015 eV/atom) 2 Y2Mn2O7 -> O2 + 4 YMnO3 (dG = 0.037 eV/atom) Total Cost: 0.523 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) YCl3 + MnCO3 -> YMnO3 + CCl3 (dG = 0.393 eV/atom) Total Cost: 0.625 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.722 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.728 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 reaction-> Y2Mn2O7 + 2 Mn8Cl3O10 (dG = -0.015 eV/atom) 0.5 Y2Mn2O7 + 0.5 Mn2O3 -> MnO2 + YMnO3 (dG = 0.005 eV/atom) Total Cost: 0.516 2 YCl3 + 9 Mn2O3 -> Y2Mn2O7 + 2 Mn8Cl3O10 (dG = -0.015 eV/atom) 2 Y2Mn2O7 -> O2 + 4 YMnO3 (dG = 0.037 eV/atom) Total Cost: 0.523 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) YCl3 + MnCO3 -> YMnO3 + CCl3 (dG = 0.393 eV/atom) Total Cost: 0.625 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.722 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.728 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 energy -> Y2Mn2O7 + 2 Mn8Cl3O10 (dG = -0.015 eV/atom) 0.5 Y2Mn2O7 + 0.5 Mn2O3 -> MnO2 + YMnO3 (dG = 0.005 eV/atom) Total Cost: 0.516 2 YCl3 + 9 Mn2O3 -> Y2Mn2O7 + 2 Mn8Cl3O10 (dG = -0.015 eV/atom) 2 Y2Mn2O7 -> O2 + 4 YMnO3 (dG = 0.037 eV/atom) Total Cost: 0.523 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) YCl3 + MnCO3 -> YMnO3 + CCl3 (dG = 0.393 eV/atom) Total Cost: 0.625 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.722 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.728 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 dE+ 0.5 Mn2O3 -> MnO2 + YMnO3 (dG = 0.005 eV/atom) Total Cost: 0.516 2 YCl3 + 9 Mn2O3 -> Y2Mn2O7 + 2 Mn8Cl3O10 (dG = -0.015 eV/atom) 2 Y2Mn2O7 -> O2 + 4 YMnO3 (dG = 0.037 eV/atom) Total Cost: 0.523 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) YCl3 + MnCO3 -> YMnO3 + CCl3 (dG = 0.393 eV/atom) Total Cost: 0.625 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.722 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.728 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 chemsys 2 YCl3 + 9 Mn2O3 -> Y2Mn2O7 + 2 Mn8Cl3O10 (dG = -0.015 eV/atom) 2 Y2Mn2O7 -> O2 + 4 YMnO3 (dG = 0.037 eV/atom) Total Cost: 0.523 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) YCl3 + MnCO3 -> YMnO3 + CCl3 (dG = 0.393 eV/atom) Total Cost: 0.625 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.722 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.728 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 Cl3 + 9 Mn2O3 -> Y2Mn2O7 + 2 Mn8Cl3O10 (dG = -0.015 eV/atom) 2 Y2Mn2O7 -> O2 + 4 YMnO3 (dG = 0.037 eV/atom) Total Cost: 0.523 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) YCl3 + MnCO3 -> YMnO3 + CCl3 (dG = 0.393 eV/atom) Total Cost: 0.625 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.722 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.728 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 YCl3 + 9 Mn2O3 -> Y2Mn2O7 + 2 Mn8Cl3O10 (dG = -0.015 eV/atom) 2 Y2Mn2O7 -> O2 + 4 YMnO3 (dG = 0.037 eV/atom) Total Cost: 0.523 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) YCl3 + MnCO3 -> YMnO3 + CCl3 (dG = 0.393 eV/atom) Total Cost: 0.625 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.722 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.728 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52
0n2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) YCl3 + MnCO3 -> YMnO3 + CCl3 (dG = 0.393 eV/atom) Total Cost: 0.625 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.722 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.728 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 2 Y + 1.5 O2 -> Y2O3nO3 (dG = 0.009 eV/atom) YCl3 + MnCO3 -> YMnO3 + CCl3 (dG = 0.393 eV/atom) Total Cost: 0.625 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.722 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.728 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 -8.573877YMnO3 + CCl3 (dG = 0.393 eV/atom) Total Cost: 0.625 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.722 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.728 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 0.154110 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.722 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.728 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 Y 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.722 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.728 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.722 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.728 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52
13 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.722 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.728 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 2 Mn + 2 Y + 3.5 O2 -> Y2Mn2O7gt; LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.728 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 -6.376210O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.728 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 0.166771O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.728 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 Mn-Y0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.728 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.728 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52
2 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 0.1667 YMn12 + 1.833 Y + 3.5 O2 -> Y2Mn2O70.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 -6.3741447 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 0.166797-> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 Mn-Y734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52
3Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 2 MnO + 2 Y + 2.5 O2 -> Y2Mn2O7tom) Total Cost: 0.734 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 -4.854178 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 0.161051+ Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 Mn-YO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 33 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) Total Cost: 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52
4 0.74 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 0.6667 Mn3O4 + 2 Y + 2.167 O2 -> Y2Mn2O7 = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 -4.6792413 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 0.160835YClO + 2 LiCl (dG = -0.275 eV/atom) YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 Mn-YMn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) Total Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 l Cost: 0.742 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52
5; CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 0.4 Mn5O8 + 2 Y + 1.9 O2 -> Y2Mn2O7YO2 (dG = -0.254 eV/atom) LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 -4.568917> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) Total Cost: 0.746 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 0.161284 PATHS to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 Mn-Y --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 S to LiCl --------------------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52
6---------------------------- 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 Mn2O3 + 2 Y + 2 O2 -> Y2Mn2O7.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 -4.5508203 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 0.161051gt; Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 Mn-Y478 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 i2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52
7 -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.483 2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 2 MnO2 + 2 Y + 1.5 O2 -> Y2Mn2O7; LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 -4.474267O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 0.162980O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 Mn-Y0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 l Cost: 0.487 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52
8; CO2 + Li2O (dG = 0.139 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 2 YMn12 + 25.5 O2 -> Y2Mn2O7 + 22 MnO2tom) Total Cost: 0.491 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 -4.195813 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 0.169340+ Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 Mn-YO2 + Li2O (dG = 0.139 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.495 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52
9t; CO2 + Li2O (dG = 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 Mn + O2 -> MnO2= 0.139 eV/atom) 0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 -3.8038857 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) Total Cost: 0.499 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 0.187083 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 O3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52
10i2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.717 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 0.1667 YMn12 + 0.9167 Y2O3 + 2.125 O2 -> Y2Mn2O7= 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 -2.444450t; MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 0.160450t; MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 Mn-Y25 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 l3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.72 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52
112O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 2 Mn + Y2O3 + 2 O2 -> Y2Mn2O7 0.046 eV/atom) LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 -2.089271> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 0.161051YClO + 2 LiCl (dG = -0.275 eV/atom) Total Cost: 0.721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 Mn-Y721 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52
125 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 MnO + 0.5 O2 -> MnO2Cl (dG = -0.3 eV/atom) Total Cost: 0.721 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 -0.759822 PATHS to CO2 --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 0.187083------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 Mn --------------------------------------- 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 ------------------------------------ 0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52
13+ 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 2 MnO + Y2O3 + O2 -> Y2Mn2O7 CO2 (dG = 0.005 eV/atom) Total Cost: 0.26 2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 -0.5672402 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 0.1610514CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 Mn-Y Li4CO4 + CO2 (dG = 0.051 eV/atom) Total Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 l Cost: 0.271 Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52
14 CO2 + Li2O (dG = 0.139 eV/atom) Total Cost: 0.293 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 0.3333 Mn3O4 + 0.3333 O2 -> MnO23 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 -0.409947t; MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 0.192931t; MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 Mn2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) Total Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 l Cost: 0.516 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52
15O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 0.6667 Mn3O4 + Y2O3 + 0.6667 O2 -> Y2Mn2O7= -0.014 eV/atom) Total Cost: 0.517 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 -0.392302 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 0.162767gt; MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 Mn-Y -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) Total Cost: 0.518 2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52
162 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 0.4 Mn5O8 + Y2O3 + 0.4 O2 -> Y2Mn2O7G = 0.006 eV/atom) LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 -0.281979MnO2 + 2 CO2 (dG = -0.0 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 0.164735 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 Mn-Y3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 O3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) Total Cost: 0.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52
170.519 Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 Mn2O3 + Y2O3 + 0.5 O2 -> Y2Mn2O7.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 -0.263881; LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 0.163936gt; 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) Total Cost: 0.52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 Mn-Y52 Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52
182MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) Total Cost: 0.52 0.2 Mn5O8 + 0.2 O2 -> MnO2> -0.189300iv> 0.199499iv> Mn> v>
19v> 0.5 Mn2O3 + 0.25 O2 -> MnO2order-box-sizing text_cell rendered" markdown="1"> -0.153105 class="cell border-box-sizing text_cell rendered" markdown="1"> 0.196850="cell border-box-sizing text_cell rendered" markdown="1"> Mnclass="cell border-box-sizing text_cell rendered" markdown="1"> class="cell border-box-sizing text_cell rendered" markdown="1">
20text_cell_render border-box-sizing rendered_html" markdown="1"> 2 YMnO3 + 0.5 O2 -> Y2Mn2O7 filter out unfeasbile pathways. To do this, we import and use the `PathwaySolver` class: -0.085706> 0.186246 class="cell border-box-sizing code_cell rendered" markdown="1"> Mn-Yass="cell border-box-sizing code_cell rendered" markdown="1"> class="cell border-box-sizing code_cell rendered" markdown="1"> iv class="input">

5. Constructing a reaction network from enumerated reactions

Now that we have a way to enumerate all reactions within a chemical system, we'd like to be able to put them in a convenient data structure such that we can learn something about a system. One particular data structure that is helpful for predicting reaction pathways is a weighted directed graph.

The weighted directed graph, or reaction network, connects all phases within the chemical system via the possible reactions between them. This corresponds to a structure like the following: - Nodes: Phase combinations - Edges: Reactions - Edge weights/costs: Reaction free energies (after monotonic transformation)

The function that monotonically transforms reaction free energies to (positive) costs/weights is dubbed a cost function.

For more information about this approach, please see the following publication:

Reference: McDermott, M. J., Dwaraknath, S. S., and Persson, K. A. (2021). A graph-based network for predicting chemical reaction pathways in solid-state materials synthesis. Nature Communications, 12(1). https://doi.org/10.1038/s41467-021-23339-x

Let's start by reacquiring entries for the Y-Mn-O system and filtering for stable entries at T = 900 K:

with MPRester() as mpr:
    mp_entries = mpr.get_entries_in_chemsys("Y-Mn-O")
gibbs_entries = GibbsEntrySet.from_entries(mp_entries, temperature=900).filter_by_stability(0)

Now we specify the enumerator(s) and cost function to use in the network construction. At the moment, only the softplus function is implemented.

from rxn_network.costs.softplus import Softplus

be = BasicEnumerator()
cf = Softplus(temp=1000)

We then initialize our reaction network object:

from rxn_network.network.network import ReactionNetwork

rn = ReactionNetwork(gibbs_entries, [be], cf)

The network can be built by calling build(). This runs through each enumerator provided, and constructs the reaction network structure within the graph-tool package. The graph object is stored under the graph attribute.

rn.build()
print(rn.graph)
<Graph object, directed, with 86 vertices and 267 edges, 2 internal vertex properties, 3 internal edge properties, at 0x7efc5c50c160>

To perform pathfinding, we first need to set the precursors and target defining the particular synthesis procedure we are interested in. For now, let's look at the synthesis of YMnO\(_3\) from the starting binary oxides, Y\(_2\)O\(_3\) and Mn\(_2\)O\(_3\). We first acquire the entries from the set of entries by providing the formula:

y2o3_entry = gibbs_entries.get_min_entry_by_formula("Y2O3")
mn2o3_entry = gibbs_entries.get_min_entry_by_formula("Mn2O3")
ymno3_entry = gibbs_entries.get_min_entry_by_formula("YMnO3")

And then we set the precursors and target nodes:

rn.set_precursors([y2o3_entry, mn2o3_entry])
rn.set_target(ymno3_entry)

We can also draw a cartoon illustration of what this reaction network looks like using the plot_network() function

from rxn_network.network.visualize import plot_network

plot_network(rn.graph);

We can perform simple pathfinding between the precursors node and target node. This finds the k-shortest paths between our precursors and target, which yields a sequence of reaction steps. Note: these are not necessarily mass balanced!

paths = rn.find_pathways(["YMnO3"], k=10)
PATHS to YMnO3 

--------------------------------------- 

Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) 
Total Cost: 0.227 

1.026 Y2O3 + 1.308 Mn2O3 -> Y2Mn2O7 + 0.05128 YMn12 (dG = 0.142 eV/atom) 
Mn2O3 + 0.07143 YMn12 -> 2.786 MnO + 0.07143 YMnO3 (dG = -0.349 eV/atom) 
Total Cost: 0.45 

1.333 Y2O3 + Mn2O3 -> Y2Mn2O7 + 0.6667 Y (dG = 0.401 eV/atom) 
Mn2O3 + Y -> Mn + YMnO3 (dG = -0.877 eV/atom) 
Total Cost: 0.45 

1.333 Y2O3 + Mn2O3 -> Y2Mn2O7 + 0.6667 Y (dG = 0.401 eV/atom) 
12 Mn2O3 + 13 Y -> YMn12 + 12 YMnO3 (dG = -0.866 eV/atom) 
Total Cost: 0.451 

1.026 Y2O3 + 1.308 Mn2O3 -> Y2Mn2O7 + 0.05128 YMn12 (dG = 0.142 eV/atom) 
0.07692 Mn2O3 + 0.07692 YMn12 -> Mn + 0.07692 YMnO3 (dG = -0.287 eV/atom) 
Total Cost: 0.46 

0.01282 Y2O3 + 0.6538 Mn2O3 -> MnO2 + 0.02564 YMn12 (dG = 0.365 eV/atom) 
MnO2 + 0.07143 YMn12 -> 1.786 MnO + 0.07143 YMnO3 (dG = -0.649 eV/atom) 
Total Cost: 0.465 

1.5 Y2O3 + 2 Mn2O3 -> Mn + 1.5 Y2Mn2O7 (dG = 0.121 eV/atom) 
Mn + Y2Mn2O7 -> MnO + 2 YMnO3 (dG = -0.225 eV/atom) 
Total Cost: 0.466 

1.026 Y2O3 + 1.308 Mn2O3 -> Y2Mn2O7 + 0.05128 YMn12 (dG = 0.142 eV/atom) 
Y2Mn2O7 + 0.3333 YMn12 -> 3.667 Mn + 2.333 YMnO3 (dG = -0.249 eV/atom) 
Total Cost: 0.467 

1.026 Y2O3 + 1.308 Mn2O3 -> Y2Mn2O7 + 0.05128 YMn12 (dG = 0.142 eV/atom) 
Y2Mn2O7 + 0.07143 YMn12 -> 0.7857 MnO + 2.071 YMnO3 (dG = -0.246 eV/atom) 
Total Cost: 0.467 

0.5 Y2O3 + Mn2O3 -> MnO + 0.5 Y2Mn2O7 (dG = 0.012 eV/atom) 
2 MnO + Y2Mn2O7 -> Mn2O3 + 2 YMnO3 (dG = -0.058 eV/atom) 
Total Cost: 0.473 


6. BONUS: Finding and balancing reaction pathways from a real experiment

NOTE: this last section can take a few minutes to run!

In 2019, Todd et al. reported the synthesis of YMnO3 through an "assisted metathesis" approach corresponding to the following reaction equation:

\[ Mn_2O_3 + 2 YCl_3 + 3 Li_2CO_3 \rightarrow 2 YMnO_3 + 6 LiCl + 3 CO_2 \]

They also observed the following progression of phases, as determined via in situ X-ray diffraction on a synchrotron beamline:

Reference: Todd, P. K., Smith, A. M., & Neilson, J. R. (2019). Yttrium manganese oxide phase stability and selectivity using lithium carbonate assisted metathesis reactions. Inorganic Chemistry, 58(22), 15166–15174. https://doi.org/10.1021/acs.inorgchem.9b02075

To model this synthesis, we first acquire the entries for the entire 6-element chemical system from MP:

with MPRester() as mpr:
    entries = mpr.get_entries_in_chemsys("Y-Mn-O-Li-Cl-C")

And we filter this entries by a stability filter of 20 meV/atom at T = 650 ºC:

temp = 650 + 273
gibbs_entries = GibbsEntrySet.from_entries(entries, temperature=temp).filter_by_stability(0.020)

We then designate the enumerator, cost function, and build the network. NOTE: This may take a minute to build!

be = BasicEnumerator()
cf = Softplus(temp=temp)
rn = ReactionNetwork(gibbs_entries, [be], cf)
rn.build()

As before, we then set the precursors:

rn.set_precursors([gibbs_entries.get_min_entry_by_formula("Li2CO3"), 
                   gibbs_entries.get_min_entry_by_formula("Mn2O3"), 
                   gibbs_entries.get_min_entry_by_formula("YCl3")])

And then we perform pathfinding to all three targets simultaneously:

paths = rn.find_pathways(["YMnO3","LiCl","CO2"], k=10)
PATHS to YMnO3 

--------------------------------------- 

2 YCl3 + 9 Mn2O3 -> Y2Mn2O7 + 2 Mn8Cl3O10 (dG = -0.015 eV/atom) 
0.5 Y2Mn2O7 + 0.5 Mn2O3 -> MnO2 + YMnO3 (dG = 0.005 eV/atom) 
Total Cost: 0.516 

2 YCl3 + 9 Mn2O3 -> Y2Mn2O7 + 2 Mn8Cl3O10 (dG = -0.015 eV/atom) 
2 Y2Mn2O7 -> O2 + 4 YMnO3 (dG = 0.037 eV/atom) 
Total Cost: 0.523 

Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) 
YCl3 + MnCO3 -> YMnO3 + CCl3 (dG = 0.393 eV/atom) 
Total Cost: 0.625 

2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 
2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) 
Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) 
Total Cost: 0.722 

2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 
0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) 
LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) 
Total Cost: 0.728 

2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 
0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) 
LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) 
Total Cost: 0.734 

Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 
2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) 
Y2O3 + Mn2O3 -> 2 YMnO3 (dG = -0.069 eV/atom) 
Total Cost: 0.734 

Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 
0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) 
LiYO2 + Mn2O3 -> YMnO3 + LiMnO2 (dG = -0.082 eV/atom) 
Total Cost: 0.74 

2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 
YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) 
YClO + 0.3333 Mn2O3 -> 0.3333 YCl3 + 0.6667 YMnO3 (dG = -0.0 eV/atom) 
Total Cost: 0.742 

Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 
0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) 
LiYO2 + 0.5 Mn2O3 -> YMnO3 + 0.5 Li2O (dG = -0.054 eV/atom) 
Total Cost: 0.746 

PATHS to LiCl 

--------------------------------------- 

2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 
2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) 
Total Cost: 0.478 

2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 
YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) 
Total Cost: 0.483 

2 Li2CO3 + 0.5 Mn2O3 -> LiMn(CO3)2 + 1.5 Li2O (dG = 0.089 eV/atom) 
0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) 
Total Cost: 0.487 

Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 
2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) 
Total Cost: 0.491 

Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 
YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) 
Total Cost: 0.495 

Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 
0.3333 YCl3 + 0.6667 Li2O -> LiCl + 0.3333 LiYO2 (dG = -0.254 eV/atom) 
Total Cost: 0.499 

Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) 
LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 
2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) 
Total Cost: 0.717 

Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) 
Li2MnO3 + 0.8125 Mn2O3 -> 0.125 Li9Mn21O40 + 0.4375 Li2O (dG = 0.008 eV/atom) 
2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) 
Total Cost: 0.72 

Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) 
LiCO2 + 0.5 Mn2O3 -> MnCO3 + 0.5 Li2O (dG = -0.045 eV/atom) 
YCl3 + Li2O -> YClO + 2 LiCl (dG = -0.275 eV/atom) 
Total Cost: 0.721 

Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) 
Li2MnO3 + 0.5 Mn2O3 -> LiMn2O4 + 0.5 Li2O (dG = 0.013 eV/atom) 
2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) 
Total Cost: 0.721 

PATHS to CO2 

--------------------------------------- 

0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) 
Total Cost: 0.26 

2 Li2CO3 -> Li4CO4 + CO2 (dG = 0.051 eV/atom) 
Total Cost: 0.271 

Li2CO3 -> CO2 + Li2O (dG = 0.139 eV/atom) 
Total Cost: 0.293 

Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) 
MnCO3 + 5 Li2MnO3 -> 2 Li5Mn3O8 + CO2 (dG = -0.017 eV/atom) 
Total Cost: 0.516 

Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) 
MnCO3 + 2.333 Li2MnO3 -> 0.6667 Li7Mn5O12 + CO2 (dG = -0.014 eV/atom) 
Total Cost: 0.517 

Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) 
MnCO3 + 3 Li2MnO3 -> 2 Li3Mn2O5 + CO2 (dG = -0.012 eV/atom) 
Total Cost: 0.518 

2 Li2CO3 + 2 Mn2O3 -> LiMn(CO3)2 + 3 LiMnO2 (dG = 0.006 eV/atom) 
LiMn(CO3)2 -> LiMnO2 + 2 CO2 (dG = -0.0 eV/atom) 
Total Cost: 0.519 

Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) 
MnCO3 + Li2MnO3 -> 2 LiMnO2 + CO2 (dG = -0.004 eV/atom) 
Total Cost: 0.519 

Li2CO3 + Mn2O3 -> LiCO2 + LiMn2O4 (dG = 0.046 eV/atom) 
LiCO2 + LiMn2O4 -> 2 LiMnO2 + CO2 (dG = -0.04 eV/atom) 
Total Cost: 0.52 

Li2CO3 + Mn2O3 -> MnCO3 + Li2MnO3 (dG = 0.009 eV/atom) 
MnCO3 + 2 Li2MnO3 -> Li4Mn3O7 + CO2 (dG = -0.002 eV/atom) 
Total Cost: 0.52 


Finally, we must enforce mass balance to filter out unfeasbile pathways. To do this, we import and use the PathwaySolver class:

from rxn_network.pathways.solver import PathwaySolver
from rxn_network.reactions.computed import ComputedReaction

ps = PathwaySolver(rn.entries, paths, Softplus(1000))

The PathwaySolver takes a net reaction by which to enforce mass balance, i.e. total consumption of all produced intermediates. This corresponds to the previous reaction formula we showed. We can create a ComputedReaction object by finding the relevant entries and providing them to the reaction constructor:

product_entries = []

for i in ["YMnO3", "LiCl", "CO2"]:
    product_entries.append(gibbs_entries.get_min_entry_by_formula(i))
net_rxn = ComputedReaction.balance(rn.precursors,product_entries)
print(net_rxn)
1.5 Li2CO3 + YCl3 + 0.5 Mn2O3 -> YMnO3 + 3 LiCl + 1.5 CO2

Finally, we solve for the balanced paths and print them. This may take a minute!

balanced_paths = ps.solve(net_rxn)

The final balanced pathways can be printed, as below:

for p in balanced_paths:
    print(p, "\n")
Li2CO3 -> Li2O + CO2 (dG = 0.139 eV/atom) 
0.5 YCl3 + 0.5 Li2O -> LiCl + 0.5 YClO (dG = -0.275 eV/atom) 
0.5 Li2CO3 + 0.5 Mn2O3 -> LiMnO2 + 0.5 CO2 (dG = 0.005 eV/atom) 
LiMnO2 + YClO -> LiCl + YMnO3 (dG = -0.083 eV/atom) 
Average Cost: 0.245 

0.5 Mn2O3 + 0.5 Y2O3 -> YMnO3 (dG = -0.069 eV/atom) 
Li2CO3 -> Li2O + CO2 (dG = 0.139 eV/atom) 
0.5 YCl3 + 0.5 Li2O -> LiCl + 0.5 YClO (dG = -0.275 eV/atom) 
Li2O + 2 YClO -> Y2O3 + 2 LiCl (dG = -0.138 eV/atom) 
Average Cost: 0.249 

2 YCl3 + 3 Li2O -> Y2O3 + 6 LiCl (dG = -0.3 eV/atom) 
0.5 Mn2O3 + 0.5 Y2O3 -> YMnO3 (dG = -0.069 eV/atom) 
Li2CO3 -> Li2O + CO2 (dG = 0.139 eV/atom) 
Average Cost: 0.264 


The balanced pathways are ordered by likelihood, as determined by an averaged cost.

The pathways above successfully capture many of the experimentally observed intermediates and reaction steps, such as the reaction of YOCl and LiMnO\(_2\).

For more information or questions regarding this lesson, please contact mcdermott [at] lbl.gov Thank you!